7
Pattern Classifiers
Key Concepts
ADALINE (Adaptive Linear Neuron), Hebb Learning, Hebb Nets, Learning Rate, Least Mean Square, MADALINE (Many Adaptive Linear Neurons), MR-I Algorithm, MR-II Algorithm, Perceptrons, Perceptron Learning, Widrow-Hoff Learning
Chapter Outline
Chapter 6 provides an overview of various aspects of artificial neural nets including their architecture, activation functions, training rules, etc. This chapter presents discussions on certain elementary patterns classifying neural nets. Four kinds of nets, viz., Hebb net, Perceptron, ADALINE, and MADALINE, are included ...
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