This network was developed by Stephen Grossberg and Gail Carpenter in 1987. It is based…

Learning Vector Quantization (LVQ), different from Vector quantization (VQ) and Kohonen Self-Organizing Maps (KSOM), basically…

As the name suggests, this type of learning is done without the supervision of a…

As the name suggests, supervised learning takes place under the supervision of a teacher. This learning process…

As stated earlier, ANN is completely inspired by the way biological nervous system, i.e. the…

Processing of ANN depends upon the following three building blocks − Network TopologyAdjustments of Weights…

Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such…

Introduction There are many reasons why we might want to implement or adopt a distributed…

These are also called Belief Networks or Probabilistic Inference Networks. Initially developed by Pearl (1988). The basic idea…

This can be regarded as a more general approach to representing uncertainty than the Bayesian…