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Soft Computing by Udit Chakraborty, Samir Roy

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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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