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 ...
Get Soft Computing now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
