Supervised Learning
As the name suggests, supervised learning takes place under the supervision of a teacher.…
Learning and Adaptation
As stated earlier, ANN is completely inspired by the way biological nervous…
Artificial Neural Network – Building Blocks
Processing of ANN depends upon the following three building blocks − Network…
Artificial Neural Network – Basic Concepts
Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute…
Distributed Reasoning
Introduction There are many reasons why we might want to implement or…
Bayesian networks
These are also called Belief Networks or Probabilistic Inference Networks. Initially developed by Pearl (1988).…
Dempster-Shafer Models
This can be regarded as a more general approach to representing uncertainty…
Belief Models and Certainty Factors
This approach has been suggested by Shortliffe and Buchanan and used in…
Basic Statistical methods — Probability
The basic approach statistical methods adopt to deal with uncertainty is via…
Symbolic versus statistical reasoning
The (Symbolic) methods basically represent uncertainty belief as being True,False, orNeither True nor…


