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Associate Memory Network
These kinds of neural networks work on the basis of pattern association, which means they…
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Kohonen Self-Organizing Feature Maps
Suppose we have some pattern of arbitrary dimensions, however, we need them in one dimension…
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Adaptive Resonance Theory
This network was developed by Stephen Grossberg and Gail Carpenter in 1987. It is based…
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Learning Vector Quantization
Learning Vector Quantization (LVQ), different from Vector quantization (VQ) and Kohonen Self-Organizing Maps (KSOM), basically…
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Unsupervised Learning
As the name suggests, this type of learning is done without the supervision of a…
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Supervised Learning
As the name suggests, supervised learning takes place under the supervision of a teacher. This learning process…
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Learning and Adaptation
As stated earlier, ANN is completely inspired by the way biological nervous system, i.e. the…
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Artificial Neural Network – Building Blocks
Processing of ANN depends upon the following three building blocks − Network TopologyAdjustments of Weights…
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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…
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Distributed Reasoning
Introduction There are many reasons why we might want to implement or adopt a distributed…