Open Access. Powered by Scholars. Published by Universities.®
Artificial Intelligence and Robotics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Life Sciences (5)
- Medicine and Health Sciences (5)
- Agricultural Science (4)
- Engineering (4)
- Plant Sciences (4)
-
- Applied Mathematics (2)
- Arts and Humanities (2)
- Computer Engineering (2)
- Electrical and Computer Engineering (2)
- Robotics (2)
- Social and Behavioral Sciences (2)
- Software Engineering (2)
- Agriculture (1)
- Business (1)
- Cybersecurity (1)
- Data Science (1)
- Diseases (1)
- Education (1)
- Ethics in Religion (1)
- Information Security (1)
- Law (1)
- Law and Philosophy (1)
- Mathematics (1)
- Music (1)
- Nursing (1)
- OS and Networks (1)
- Public Affairs, Public Policy and Public Administration (1)
- Keyword
-
- Machine learning (17)
- Artificial intelligence (14)
- Deep learning (14)
- [RSTDPub] (6)
- Cybersecurity (5)
-
- Ethics (5)
- Automation (4)
- Explainable AI (4)
- Computer vision (3)
- Deep convolutional neural networks (3)
- Embodied AI (3)
- Feature extraction (3)
- LLM (3)
- Neural networks (3)
- Robotics (3)
- Transformer (3)
- AI (2)
- Animation realism (2)
- Artificial Neural Networks (2)
- ChatGPT (2)
- Computer science (2)
- Convolutional neural network (2)
- Convolutional neural networks (2)
- Crop/weed classification and detection (2)
- Detection (2)
- Digital twin (2)
- Feature fusion (2)
- Federated learning (2)
- Generative artificial intelligence (2)
- K-FLBPCM (2)
- Publication Year
- Publication
- Publication Type
Articles 91 - 92 of 92
Full-Text Articles in Artificial Intelligence and Robotics
A Model Of Visual Recognition Implemented Using Neural Networks, Vincent C. Phillips
A Model Of Visual Recognition Implemented Using Neural Networks, Vincent C. Phillips
Theses: Doctorates and Masters
The ability to recognise and classify objects in the environment is an important property of biological vision. It is highly desirable that artificial vision systems also have this ability. This thesis documents research into the use of artificial neural networks to implement a prototype model of visual object recognition. The prototype model, describing a computtional architecture, is derived from relevant physiological and psychological data, and attempts to resolve the use of structural decomposition and invariant feature detection. To validate the research a partial implementation of the model has been constructed using multiple neural networks. A linear feed-forward network performs pre-procesing …
An Examination And Analysis Of The Boltzmann Machine, Its Mean Field Theory Approximation, And Learning Algorithm, Vincent Clive Phillips
An Examination And Analysis Of The Boltzmann Machine, Its Mean Field Theory Approximation, And Learning Algorithm, Vincent Clive Phillips
Theses : Honours
It is currently believed that artificial neural network models may form the basis for inte1ligent computational devices. The Boltzmann Machine belongs to the class of recursive artificial neural networks and uses a supervised learning algorithm to learn the mapping between input vectors and desired outputs. This study examines the parameters that influence the performance of the Boltzmann Machine learning algorithm. Improving the performance of the algorithm through the use of a naïve mean field theory approximation is also examined. The study was initiated to examine the hypothesis that the Boltzmann Machine learning algorithm, when used with the mean field approximation, …