Open Access. Powered by Scholars. Published by Universities.®
Artificial Intelligence and Robotics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (5465)
- Computer Engineering (4425)
- Operations Research, Systems Engineering and Industrial Engineering (4292)
- Numerical Analysis and Scientific Computing (4207)
- Systems Science (3940)
-
- Social and Behavioral Sciences (993)
- Databases and Information Systems (889)
- Software Engineering (643)
- Medicine and Health Sciences (614)
- Data Science (532)
- Other Computer Sciences (530)
- Theory and Algorithms (488)
- Business (461)
- Graphics and Human Computer Interfaces (423)
- Electrical and Computer Engineering (410)
- Education (399)
- Arts and Humanities (343)
- Information Security (300)
- Public Affairs, Public Policy and Public Administration (299)
- Life Sciences (273)
- Law (244)
- Statistics and Probability (206)
- Medical Specialties (178)
- Library and Information Science (167)
- Robotics (159)
- Psychology (157)
- Programming Languages and Compilers (156)
- Institution
-
- China Simulation Federation (3924)
- Singapore Management University (1935)
- Old Dominion University (657)
- San Jose State University (277)
- MMU Press (252)
-
- MBZUAI (233)
- City University of New York (CUNY) (185)
- Technological University Dublin (157)
- Air Force Institute of Technology (138)
- Chapman University (127)
- California Polytechnic State University, San Luis Obispo (116)
- Chinese Academy of Sciences (113)
- University of Arkansas, Fayetteville (105)
- Edith Cowan University (97)
- Lindenwood University (97)
- Embry-Riddle Aeronautical University (93)
- University of South Florida (80)
- University of Nebraska - Lincoln (79)
- University of Kentucky (76)
- University of Malaya (66)
- University of Nevada, Las Vegas (64)
- Clemson University (63)
- Dartmouth College (62)
- University of Denver (59)
- University of Michigan Law School (58)
- Utah State University (57)
- Thomas Jefferson University (55)
- University of Texas at El Paso (55)
- New Jersey Institute of Technology (54)
- University of Central Florida (50)
- Keyword
-
- Artificial intelligence (787)
- Machine learning (689)
- Deep learning (445)
- Machine Learning (421)
- Artificial Intelligence (384)
-
- AI (241)
- Deep Learning (231)
- Computer vision (160)
- Simulation (159)
- Generative AI (142)
- Reinforcement learning (141)
- Neural networks (130)
- Large language models (110)
- Natural language processing (108)
- Natural Language Processing (104)
- Robotics (97)
- ChatGPT (91)
- Path planning (89)
- Computer Vision (86)
- Optimization (84)
- Large Language Models (83)
- Classification (76)
- Neural network (69)
- Cybersecurity (66)
- Virtual reality (65)
- Neural Networks (64)
- Reinforcement Learning (64)
- Computer Science (60)
- Deep reinforcement learning (60)
- Genetic algorithm (58)
- Publication Year
- Publication
-
- Journal of System Simulation (3924)
- Research Collection School Of Computing and Information Systems (1697)
- Journal of Informatics and Web Engineering (252)
- Master's Projects (248)
- Theses and Dissertations (183)
-
- Computer Science Faculty Publications (128)
- Bulletin of Chinese Academy of Sciences (Chinese Version) (113)
- Faculty Scholarship (108)
- Publications and Research (100)
- Computer Vision Faculty Publications (98)
- Master's Theses (96)
- Conference papers (92)
- Electrical & Computer Engineering Faculty Publications (91)
- Machine Learning Faculty Publications (86)
- Electronic Theses and Dissertations (85)
- Faculty Publications (78)
- Dissertations (71)
- Research outputs 2022 to 2026 (69)
- USF Tampa Graduate Theses and Dissertations (67)
- Dissertations and Theses Collection (Open Access) (60)
- Articles (55)
- Dissertations, Theses, and Capstone Projects (53)
- Open Access Theses & Dissertations (51)
- Theses and Dissertations--Computer Science (48)
- Natural Language Processing Faculty Publications (46)
- Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions (46)
- Graduate Theses and Dissertations (45)
- Electrical & Computer Engineering Theses & Dissertations (41)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (40)
- Publications (40)
- Publication Type
- File Type
Articles 11521 - 11550 of 11611
Full-Text Articles in Artificial Intelligence and Robotics
Sistem Pakar Bermultimedia Untuk Pengenalpastian Serangga, Osman Aizul Hussin
Sistem Pakar Bermultimedia Untuk Pengenalpastian Serangga, Osman Aizul Hussin
Student Works (2000-2009)
Sistem Pakar Bermultimedia untuk domain pengenalpastian serangga ,Insect Identification Expert System,(IIES ) merupakan sistem pakar untuk membantu proses pengenalpastian pangkat serangga dalam Hierarki Linnean. Sistem ini menggunakan pendekatan berorientasikan objek di mana konsep kelas dan objek akan digunakan untuk merekodkan pengetahuan ke bentuk yang akan difahami oleh sistem pakar. Strategi inferens yang digunakan ialah teknik rantaian ke hadapan di mana sistem pakar akan menghasilkan konklusi berdasarkan data-data yang diberi. Sistem pakar mempunyai ciri-ciri multimedia untuk membantu memberi panduan bagi pengguna untuk mengenal pasti ciri-ciri kunci serangga dan memberi penjelasan tentang domain di samping memberi pendekatan yang berlainan dari sistem pakar …
Intelligent Agent For E-Commerce Using Genetic Algorithm, Sun Sun Kok
Intelligent Agent For E-Commerce Using Genetic Algorithm, Sun Sun Kok
Student Works (2000-2009)
This project report outlines the introduction, literature study and methodology, system analysis and design, system implementation, system testing and summary of the whole project. The major objective of this system is to develop an intelligent agent that can gather. analyze and categorize information from the Web on the printers that complying the parameters specified /identified by the web users, and to provide recommendations for online purchases for all types of printers. The recommended web sites are restricted to web pages that provide online purchase facilities and deliveries in Malaysia. The system is able to update the information from the database …
Sistem Diagnosis Penyakit Tanaman Padi (Pakar Padi), Jin Gee Tee
Sistem Diagnosis Penyakit Tanaman Padi (Pakar Padi), Jin Gee Tee
Student Works (2000-2009)
Beras adalah makanan utama rakyat Malaysia. Banyak kajian dan penyelidikan dibuat untuk meningkatkan hasil tanaman padi. Di antaranya termasuklah mengkaji cara-cara kawalan serangga perosak dan kerja-kerja diagnosis penyakit tanaman padi. Maklumat-maklumat daripada hasil kajian harus disimpan dengan baik supaya kerja diagnosis dapat dijalankan dengan lebih lancar. Memandangkan keperluan ini, satu sistem berkomputeran yang menyimpan data data mengenai tanaman padi adalah penting dan dijangka akan memberi bantuan dalam pengurusan dan kerja-kerja diagnosis. Ini telah membawa kepada idea untuk membangunkan satu sistem diagnosis penyakit bagi tanaman padi. Sistem Diagnosis Penyakit Tanaman Padi, diberikan nama Pakar Padi adalah satu sistem berpangkalan komputer yang …
Homepage For Medical Image Processing, Nawot Nomansia
Homepage For Medical Image Processing, Nawot Nomansia
Student Works (2000-2009)
Homepage for Medical image Processing is a web site development project done to fulfills the requirement of Bachelor of Information Technology course. This homepage is about the current research in medical image processing area done by the research group in Neural Network Lab at Faculty of Computer Science and Intonation Technology University of Malaya. The architecture of this homepage based on client-server architecture model. Nowadays, many researchers use the Internet to storing, retrieving, and displaying information in a networked environment. Those who offer information through the Web must establish a homepage, a text and graphical screen display that usually welcomes …
Interactive 3d Human-Head Multimedia System, Ahmad Shah Reezal
Interactive 3d Human-Head Multimedia System, Ahmad Shah Reezal
Student Works (2000-2009)
This document was organized in order to give to the reader or user a complete overview about the upcoming project, in the sense that the user should learn the theoretical concepts first and then be aware of how the concepts be applied, being presented meanwhile, some introduction, literation research, methodology, system analysis, system design, system development, system testing, the discussion on the problems occur and examples related with "Interactive 30 human Head Multimedia System". My advisor and supervisor for this thesis is Pn. Nurul Fazmidar Mohd. Noor and the moderator is Dr. Phang Keat Keong. The topic I chose is …
Intelligent Multimedia Help System For Arithmetic (Arithelp), Noor Lees Ismail
Intelligent Multimedia Help System For Arithmetic (Arithelp), Noor Lees Ismail
Student Works (2000-2009)
This dissertation studies and implements an Intelligent Multimedia Help System for Arithmetic (ARITHELP). The major problem currently faced by the manual references is time constraint. Therefore, the goal of this thesis is to provide a quick and easy help for students using multimedia concepts. This system can be categorized into an expert system type as it transforms an expert knowledge into the system. It consists of 4 components which are an expert model, tutor model, student model and interface model. Overlay model is used as a technique to represent knowledge in student model whereas the pedagogical model is used to …
An Inquiry Into The Development Of Expert Systems In Legal Reasoning, Trevor K. Sheeley
An Inquiry Into The Development Of Expert Systems In Legal Reasoning, Trevor K. Sheeley
Presidential Scholars Theses (1990 – 2006)
The first goal of this paper is to review some of the steps necessary in developing a system that reasons effectively in some domain of law. The paper will begin by addressing the issues of domain selection, domain analysis and knowledge acquisition, knowledge representation, and selection of an inference method. After presenting a brief argument against using rule-based reasoning as the primary mode of inference, the paper will go on to expound the virtues of Kevin Ashley's HYPO, a software model of case based legal argument. It will conclude with a short description of my experience implementing part of a …
Application Of Vibrational Techniques In Determination Of Dynamic Properties Of Agricultural Products-State Of The Arton Of Vibrational Techniques In Determination Of Dynamic Properties Of Agricultural Products-State Of The Art, Silas Kajuna
Tanzania Journal of Engineering and Technology (TJET)
Vibration is one of the techniques employed in the determination of dynamic properties of fruits and vegetables. It entails generation of a mechanical or acoustic vibrational signal which is propagated through the flesh of the agricultural material. A transducer is either attached or held close to the specimen to monitor the propagation of the signal through the specimen. The manner in which the signal is transmitted through the material is analyzed, and the dynamic properties of the specimen which relate to its firmness or its internal being are derived. The technique has been around for the past 30 years or …
Design Approaches To Model-Based Simulation In Intelligent Computer Assisted Instruction, Bjoern Helfesrieder, Venky Shankararaman
Design Approaches To Model-Based Simulation In Intelligent Computer Assisted Instruction, Bjoern Helfesrieder, Venky Shankararaman
Research Collection School Of Computing and Information Systems
Model-based simulation systems have been created in various fields of engineering to train personnel or students in operation, maintenance and troubleshooting of complex devices and systems. A review of literature indicates a lack of good overviews of the approaches to system design of model-based training simulations in Intelligent Computer Assisted Instruction (ICAI). Though single systems have to some extent been evaluated with regard to their performance, an organised evaluation, especially a comparative evaluation of the systems that have been created within the field is lacking. To be able to successfully conduct an in-depth review under these conditions, we concentrate and …
Newton Parameter Update Algorithm For Recurrent Neural Networks Applied To Adaptive System Identification And Control, Donald Allen Gates
Newton Parameter Update Algorithm For Recurrent Neural Networks Applied To Adaptive System Identification And Control, Donald Allen Gates
Electrical & Computer Engineering Theses & Dissertations
This paper shows that the combination of a second-order neural network parameter update algorithm and internal network feedback can be effectively used for adaptive, nonlinear, dynamical system identification and control. Adaptive neural identification and control algorithms are typically utilized for real-time applications where the rate of adaptation is often critical. A fast, adaptive network parameter update algorithm is presented.
Simulation results show that this algorithm is capable of quickly identifying and adapting to changes in system parameters, making it feasible to use for real-time control and fault accommodation applications.
The Effectiveness Of Expert Support Technology For Decision Making: Individuals Versus Small Groups, Fiona Fui-Hoon Nah, Jiye Mao, Izak Benbasat
The Effectiveness Of Expert Support Technology For Decision Making: Individuals Versus Small Groups, Fiona Fui-Hoon Nah, Jiye Mao, Izak Benbasat
Research Collection School Of Computing and Information Systems
Expert support systems (ESSs) are increasingly used in organizations to support individuals and groups in decision making. Although ESSs have been shown to enhance the decision-making capabilities of individuals, their benefits in supporting group decision making are less clear. To the best of our knowledge, no empirical research has evaluated the effectiveness of the technology in the group setting or compared its usefulness for supporting individual versus group decision making. The results of this research show that ESSs benefit decision making of both individuals and groups and novices are able to gain more from ESSs than experts. The findings also …
Structural Emergence And The Collaborative Behavior Of Autonomous Nano-Satellites, Daniel J. Petrovich
Structural Emergence And The Collaborative Behavior Of Autonomous Nano-Satellites, Daniel J. Petrovich
Theses and Dissertations
The collaborative behavior of nano-satellites in a zero-gravity environment is explored, and satellite characteristics are proposed that maximize constellation robustness and minimize manufacturing costs. Behavioral algorithms are proposed to facilitate both swarming and structural formation and are validated using the Structural Emergence Simulator (STEMS) Graphical User Interface (GUl). A payload of multiple satellites is placed in a zero-gravity environment and released to re-configure autonomously into a pre-designed structure. Data transmission between satellites is not permitted during the swarming phase of the structure formation mission. A binary behavior algorithm is invented that produces a direction and magnitude solution to the satellite …
Multiple Stochastic Learning Automata For Vehicle Path Control In An Automated Highway System, Cem Unsal, Pushkin Kachroo, John S. Bay
Multiple Stochastic Learning Automata For Vehicle Path Control In An Automated Highway System, Cem Unsal, Pushkin Kachroo, John S. Bay
Electrical & Computer Engineering Faculty Research
This paper suggests an intelligent controller for an automated vehicle planning its own trajectory based on sensor and communication data. The intelligent controller is designed using the learning stochastic automata theory. Using the data received from on-board sensors, two automata (one for lateral actions, one for longitudinal actions) can learn the best possible action to avoid collisions. The system has the advantage of being able to work in unmodeled stochastic environments, unlike adaptive control methods or expert systems. Simulations for simultaneous lateral and longitudinal control of a vehicle provide encouraging results
Distributed Artificial Intelligence In A Virtual Reality Setting: A Case Study, Rebecca Lohr
Distributed Artificial Intelligence In A Virtual Reality Setting: A Case Study, Rebecca Lohr
Presidential Scholars Theses (1990 – 2006)
Artificial intelligence, or Al, is a fascinating area of research. Al refers to the attempt to create a computer program, known as an intelligent agent, which can "think" and operate in a complex, changing environment. Many problems have been discovered in attempting to develop these intelligent agents, including the simulation of learning, planning, and natural language understanding. While researching these issues, a new branch of Al research has developed. Researchers discovered that there are other problems associated with how intelligent agents work together to solve problems. This field of research has become known as distributed artificial intelligence, or DAI.
Fuzzy Logic Applied To System Control To Enhance Commercial Appliance Performance, Glenn Moffett
Fuzzy Logic Applied To System Control To Enhance Commercial Appliance Performance, Glenn Moffett
Doctoral Dissertations
The purpose of this research is to determine the usefulness of fuzzy logic and fuzzy control when applied to a commercial appliance. Fuzzy logic is a structured, model-free estimator that approximates a function through linguistic input/output associations. Fuzzy rule-based systems apply these methods to solve many types of "real-world" problems, especially where a system is difficult to model, is controlled by a human operator or expert, or where ambiguity or vagueness is common.
This dissertation presents fuzzy sets, fuzzy systems, and fuzzy control, with an example conveying the use of fuzzy control of a consumer product and an overview of …
Singularity Avoidance Strategies For Satellite Mounted Manipulators Using Attitude Control, Nathan A. Titus
Singularity Avoidance Strategies For Satellite Mounted Manipulators Using Attitude Control, Nathan A. Titus
Theses and Dissertations
Control concepts for satellite mounted manipulators (SMM) are examined. The primary focus is on base actuated concepts, which eliminate singularity problems associated with free floating SMMs. A new form of the equations of motion for an n-link SMM is developed using a quasi coordinate form of Lagrange's Equation. Alternative free floating SMM designs are presented which eliminate dynamic singularities, but still experience difficulties due to the unactuated base. A new generic SMM controller is developed as a framework for various control concepts with and without base actuation. Momentum constrained Jacobians are shown to produce better SMM tracking than fixed base …
Study Of Human Factors Variables In Battle Outcome Prediction Models, David Andrew Glovier
Study Of Human Factors Variables In Battle Outcome Prediction Models, David Andrew Glovier
Engineering Management & Systems Engineering Theses & Dissertations
Over time there have been many improvements in models that are used to predict the outcome of battles. Currently there is much supposition and speculation surrounding the use of human performance related factors as additional inputs to battle simulation models to improve their accuracy. However there is no conclusive scientific evidence which shows that these factors do make a significant difference. This study investigates the use of factors that may impact on the human performance directly or indirectly in battle prediction models. These factors consist of traditional human factors and external factors that may influence the human performance. The research …
Starcraft - Maps & Benchmark Problems, Nathan R. Sturtevant, Blizzard Corp.
Starcraft - Maps & Benchmark Problems, Nathan R. Sturtevant, Blizzard Corp.
Moving AI Lab: 2D Maps and Benchmark Problems
Maps extracted from Starcraft from Blizzard Corp. for use and distribution as benchmark problems.
Contains 75 maps and benchmark problem sets, converted to standard format by Dave Churchill and post-processed to remove all but the largest connected component.
Design And Design Centers In Engineering Education, Clive L. Dym
Design And Design Centers In Engineering Education, Clive L. Dym
All HMC Faculty Publications and Research
This paper is intended to be the opening salvo of the workshop, Computing Futures in Engineering Design (Dym, 1997). Thus, I want to take this privileged moment to ask you to think with me about the role of design in engineering. In particular, I want to reflect upon how design is articulated and how design is taught; about the role of design in engineering education and in the practice of engineering; and about the role that could be played locally and, perhaps, nationally by a center devoted to design education. Because I teach here at Harvey Mudd College (HMC), …
Robots In The Undergraduate Curriculum, D. Kumar, Lisa A. Meeden
Robots In The Undergraduate Curriculum, D. Kumar, Lisa A. Meeden
Computer Science Faculty Works
No abstract provided.
Virtual Reality Modelling Of A Cnc Machine, Damian O'Sullivan
Virtual Reality Modelling Of A Cnc Machine, Damian O'Sullivan
Theses
The increasing importance of training and upgrading skills has led to the use of new interactive technologies in the development of more effective training tools. Previous techniques for training Computer Numerical Control (CNC) machine operators, while excellent for their time, varied from brief inexpensive tutorials to expensive on the job training. A CNC machine uses a computer to perform the functions of the machine using a part program stored in the memory of the computer. This thesis describes a Virtual Reality (VR) model of a CNC milling machine, implemented within a VR environment representing a CNC workshop. Its development and …
Learning To See Analogies: A Connectionist Exploration, Douglas S. Blank
Learning To See Analogies: A Connectionist Exploration, Douglas S. Blank
Computer Science Faculty Research and Scholarship
The goal of this dissertation is to integrate learning and analogy-making. Although learning and analogy-making both have long histories as active areas of research in cognitive science, not enough attention has been given to the ways in which they may interact. To that end, this project focuses on developing a computer program, called Analogator, that learns to make analogies by seeing examples of many different analogy problems and their solutions. That is, it learns to make analogies by analogy. This approach stands in contrast to most existing computational models of analogy in which particular analogical mechanisms are assumed a priori …
Simulation Study Of Learning Automata Games In Automated Highway Systems, Cem Unsal, Pushkin Kachroo, John S. Bay
Simulation Study Of Learning Automata Games In Automated Highway Systems, Cem Unsal, Pushkin Kachroo, John S. Bay
Electrical & Computer Engineering Faculty Research
One of the most important issues in Automated Highway System (AHS) deployment is intelligent vehicle control. While the technology to safely maneuver vehicles exists, the problem of making intelligent decisions to improve a single vehicle’s travel time and safety while optimizing the overall traffic flow is still a stumbling block. We propose an artificial intelligence technique called stochastic learning automata to design an intelligent vehicle path controller. Using the information obtained by on-board sensors and local communication modules, two automata are capable of learning the best possible (lateral and longitudinal) actions to avoid collisions. This learning method is capable of …
Velocity Estimation Via A Neural Network Enhanced By Classical Detection Algorithms, Zeki Berk Hamşioğlu
Velocity Estimation Via A Neural Network Enhanced By Classical Detection Algorithms, Zeki Berk Hamşioğlu
Electrical & Computer Engineering Theses & Dissertations
The goal of this research is to show how to solve a velocity estimation problem using a neural network connected to an array of sensors. Motivated by biological studies involving insect vision, the neural network utilized is a member of a class of shunting neural networks. When an object moves across the face of the sensor array, the neural network's pulse response is first temporally located using classical M-ary detection techniques. Both the deterministic and stochastic cases are considered. Then the network's pulse response is post-processed via an existing velocity estimation algorithm based on a Volterra series model of the …
A Synthesized Methodology For Eliciting Expert Judgment For Addressing Uncertainty In Decision Analysis, Richard W. Monroe
A Synthesized Methodology For Eliciting Expert Judgment For Addressing Uncertainty In Decision Analysis, Richard W. Monroe
Engineering Management & Systems Engineering Theses & Dissertations
This dissertation describes the development, refinement, and demonstration of an expert judgment elicitation methodology. The methodology has been developed by synthesizing the literature across several social science and scientific fields. The foremost consideration in the methodology development has been to incorporate elements that are based on reasonable expectations for the human capabilities of the user, the expert in this case.
Many methodologies exist for eliciting assessments for uncertain events. These are frequently elicited in probability form. This methodology differs by incorporating a qualitative element as a beginning step for the elicitation process. The qualitative assessment is a more reasonable way …
Autonomous Construction Of Multi Layer Perceptron Neural Networks, Thomas F. Rathbun
Autonomous Construction Of Multi Layer Perceptron Neural Networks, Thomas F. Rathbun
Theses and Dissertations
The construction of Multi Layer Perceptron (MLP) neural networks for classification is explored. A novel algorithm is developed, the MLP Iterative Construction Algorithm (MICA), that designs the network architecture as it trains the weights of the hidden layer nodes. The architecture can be optimized on training set classification accuracy, whereby it always achieves 100% classification accuracies, or it can be optimized for generalization. The test results for MICA compare favorably with those of backpropagation on some data sets and far surpasses backpropagation on others while requiring less FLOPS to train. Feature selection is enhanced by MICA because it affords the …
The "Hoover" Project: Home Occupants Vehicular Electronic Reconnaissance, Kelvin Chan
The "Hoover" Project: Home Occupants Vehicular Electronic Reconnaissance, Kelvin Chan
SWITCH
The article explains telepresence, as well as its potential in safety and security, along with its traditional usage of traversing dangerous situations. This article describes a dystopian plan to place drones equipped with cameras and microphones in all homes in the Silicon Valley as a vehicle for telepresence. The data achieved through this method would also be stored into a public domain browser on the internet, free for anyone in the public to view, including larger corporations and the government. The idea behind this is the assimilation of data behind all cultures for understanding and to assist law enforcement in …
Expert System For The Generation Of A Work Breakdown Structure, Bernard O'Callaghan
Expert System For The Generation Of A Work Breakdown Structure, Bernard O'Callaghan
Theses
This thesis outlines research work carried out in the Mechanical & Manufacturing Department in Cork Regional Technical College, Ireland. With computers now having an increasingly dominant role in all areas of business, it was inevitable that computer-based project management packages would become more popular. To date however, these packages have concentrated on monitoring and controlling projects. The definition and brainstorming phases required to generate a project plan are still largely manual tasks. Planning a project initially involves generating a complete and organised list of all the tasks needing to be completed in order to achieve a project’s goal. This list …
The Toysim Project, Anthony Rodriguez
Neural Network Classification Of Environmental Samples, Jeffrey L. Blackmon
Neural Network Classification Of Environmental Samples, Jeffrey L. Blackmon
Theses and Dissertations
This research develops a general methodology for designing neural network classifiers for real-world environmental problems. This methodology is demonstrated through the design of a multi-layer perceptron to classify stainless steel and actinide samples. Neural networks, sometimes called artificial neural networks, have been shown capable of classifying complex patterns. Artificial neural networks are physiologically motivated computer algorithms which attempt to mimic the function of the large interconnected network of neurons in the human brain, which has extraordinary pattern recognition capabilities. These artificial neural networks learn to map a set of input features, elemental composition, onto a set of outputs such as …