A normalized gradient algorithm for an adaptive recurrent perceptron

A normalized algorithm for on-line adaptation of a recurrent perceptron is derived. The algorithm builds upon the normalized backpropagation (NBP) algorithm for feedforward neural networks, and provides an adaptive learning rate and normalization for a recurrent perceptron learning algorithm. The al...

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Bibliographic Details

Main Authors:	Jonathon Chambers, Warren Sherliker, Danilo P. Mandic
Format:	Default Conference proceeding
Published:	2000
Subjects:	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/5795
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