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Soft Computing by Udit Chakraborty, Samir Roy

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10

Backpropagation

Key Concepts

Backpropagation of error, Feedforward neural net, Generalized delta rule, Hidden layer, Hyperbolic tangent function, Multilayer perceptron, Nguyen-Widrow initialization, Random initialization, Sigmoid function, Steepness parameter

Chapter Outline

 

Backpropagation net is an important class of artificial neural nets which is used in a wide range of applications. The early enthusiasm over neural networks received a severe blow when Minsky and Papert (1969) demonstrated that perceptrons are unable to implement an elementary ...

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