Basics 5 min read
Adaptive Resonance Theory
This network was developed by Stephen Grossberg and Gail Carpenter in 1987. It is based on competition and uses unsupervised…
THE LATEST THINKING
Every story.
Browse our articles in publication order, with new stories added automatically.
Basics 5 min read
Learning Vector Quantization
Learning Vector Quantization (LVQ), different from Vector quantization (VQ) and Kohonen Self-Organizing Maps (KSOM), basically is a competitive network which…
Basics 7 min read
Unsupervised Learning
As the name suggests, this type of learning is done without the supervision of a teacher. This learning process is…
Basics 13 min read
Supervised Learning
As the name suggests, supervised learning takes place under the supervision of a teacher. This learning process is dependent. During the training…
Basics 7 min read
Learning and Adaptation
As stated earlier, ANN is completely inspired by the way biological nervous system, i.e. the human brain works. The most…
Basics 5 min read
Artificial Neural Network – Building Blocks
Processing of ANN depends upon the following three building blocks − Network Topology Adjustments of Weights or Learning Activation Functions…
Basics 6 min read
Artificial Neural Network – Basic Concepts
Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance)…
Basics 5 min read
Distributed Reasoning
Introduction There are many reasons why we might want to implement or adopt a distributed approach to reasoning in an…
Basics 6 min read
Bayesian networks
These are also called Belief Networks or Probabilistic Inference Networks. Initially developed by Pearl (1988). The basic idea is: Knowledge in the world…
Basics 3 min read
Dempster-Shafer Models
This can be regarded as a more general approach to representing uncertainty than the Bayesian approach. Bayesian methods are sometimes…
Basics 2 min read
Belief Models and Certainty Factors
This approach has been suggested by Shortliffe and Buchanan and used in their famous medical diagnosis MYCIN system. MYCIN is…
Basics 3 min read
Basic Statistical methods — Probability
The basic approach statistical methods adopt to deal with uncertainty is via the axioms of probability: Probabilities are (real) numbers…