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Articles 1 - 8 of 8
Full-Text Articles in Business
Stock Market Forecasting Based On Artificial Intelligence Technology, Yuzhun Liang
Stock Market Forecasting Based On Artificial Intelligence Technology, Yuzhun Liang
Electronic Theses, Projects, and Dissertations
This culminating experience project used artificial intelligence (AI) technology to forecast and analyze the stock market and construct complex nonlinear relationships between the input data and the output data. This project used a radial basis function neural network to forecast and analyze the stock market data. Compared the radial basis function neural network performance with the feed-forward neural network and clearly showed the superiority of the radial basis function neural network over the feed-forward neural network in the data processing. The results showed that AI technology could effectively predict stock market performance. Based on the results, the conclusion is that …
Your Business Needs To Invest In Artificial Intelligence, Jacob Jones
Your Business Needs To Invest In Artificial Intelligence, Jacob Jones
Williams Honors College, Honors Research Projects
Artificial intelligence (AI) is defined as “machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment, and intention” by Brookings Institute. According to Amazon, AI is “the field of computer science dedicated to solving cognitive problems commonly associated with human intelligence, such as learning, problem solving, and pattern recognition”. AI has the ability to transform business as there are many applications of AI technology available today that could improve the operations and financials of a business. AI has turned capabilities that previously were only thought about as futuristic into a reality which …
A Methodology For Integrating Artificial Intelligence Into A Quality Management Teaching Environment, Xuesong Chi, Trevor A. Spedding
A Methodology For Integrating Artificial Intelligence Into A Quality Management Teaching Environment, Xuesong Chi, Trevor A. Spedding
Trevor Spedding
Management flight simulators provide a “microworld” in which users control an organization in a realistic environment without the need to disturb the real system. This paper presents a web-based intelligent virtual learning environment to enhance the education of engineering management students in quality management and statistical process control techniques. The paper introduces the structure and methodology for building this online learning environment. The simulated environment is based on an innovative approach which incorporates a Fuzzy Adaptive Resonance Theory Neural Network to enable students to obtain the best response by automatically identifying out of control conditions.
Inference-Guiding On Bayesian Knowledge-Based Systems, Jinchang Wang
Inference-Guiding On Bayesian Knowledge-Based Systems, Jinchang Wang
Journal of International Technology and Information Management
Bayesian network is a robust structure for representing knowledge containing uncertainties in a knowledge-based system. In applications of expert systems and knowledge-based systems, it often happens that initial data are not sufficient to derive a conclusion of high enough certainty. Inference-guiding is in that case to identify the missing information, pursue its value, and lead inference to a conclusion. This paper presents and characterizes a criterion for effectively selecting key missing information, and thereby develops a “smart” inference approach with the inference-guiding function based on the newly developed criterion for uncertain inference in a Bayesian knowledge-based system.
A Methodology For Integrating Artificial Intelligence Into A Quality Management Teaching Environment, Xuesong Chi, Trevor A. Spedding
A Methodology For Integrating Artificial Intelligence Into A Quality Management Teaching Environment, Xuesong Chi, Trevor A. Spedding
Faculty of Commerce - Papers (Archive)
Management flight simulators provide a “microworld” in which users control an organization in a realistic environment without the need to disturb the real system. This paper presents a web-based intelligent virtual learning environment to enhance the education of engineering management students in quality management and statistical process control techniques. The paper introduces the structure and methodology for building this online learning environment. The simulated environment is based on an innovative approach which incorporates a Fuzzy Adaptive Resonance Theory Neural Network to enable students to obtain the best response by automatically identifying out of control conditions.
An Artificial Intelligence Approach To International Market Screening Dss, Kelly E. Fish
An Artificial Intelligence Approach To International Market Screening Dss, Kelly E. Fish
Journal of International Technology and Information Management
This paper applies artificial intelligence (AI) computing, Kohonan Self-Organizing Maps (SOMs), to the problem of international market selection (IMS). Broadly speaking, IMS can be summarized to consist of three stages a) screening stage, b) identification stage and, c) selection stage. The screening stage often employs some type of grouping technique so that firms can begin to view the potential markets in terms of similarities and differences over variables of interest. The underlying purpose is to screen out or eliminate markets that do not meet certain criteria established by the firm. Statistical techniques such as cluster analysis, discriminant analysis or factor …
Inference-Guiding For Intelligent Agents, Jinchang Wang
Inference-Guiding For Intelligent Agents, Jinchang Wang
Journal of International Technology and Information Management
In many applications of intelligent agents, initially given facts are not sufficient to reach a decision, and more data are needed. In that case, Inference-guiding is needed to identify the missing information and lead inference to a conclusion. This paper presents a new inference- guiding strategy that selects the key pieces of missing information in such a way that the total cost of acquiring additional information for reaching a conclusion is the lowest. The computational experiments show that the new strategy is more effective and economical than the inference-guiding strategies currently available for the intelligent systems.
Looking Back: Synthetic Turf And Football Injuries, Allan Mazur, Jennifer Bretsch
Looking Back: Synthetic Turf And Football Injuries, Allan Mazur, Jennifer Bretsch
RISK: Health, Safety & Environment (1990-2002)
From the Astrodome to Astro-Turf, the authors revisit the issue of sports injuries and synthetic surfaces. The first in a series of comments exploring historic risk topics.