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Introduction To Neural Networks By Phil Picton

Introduction To Neural Networks
by Phil Picton

This introduction to neural networks describes what they are, what they can do and how they do it. While some scientific background is assumed, the reader is not expected to have any prior knowledge of neural networks. These networks are explained and discussed by means of examples.

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Introduction To Neural Networks Summary


This introduction to neural networks describes what they are, what they can do and how they do it. While some scientific background is assumed, the reader is not expected to have any prior knowledge of neural networks. These networks are explained and discussed by means of examples, with the intention that by the end of the book the reader will have good, overall, up-to-date knowledge of developments in the field. The amin networks covered are: ADALINE, the multi-layer perceptron, Wisard, the Hopfield network, Bidirectional Associative Memory, the Boltzmann machine, the counter-propagation and ART networks, and Kohonen's self-organizing maps.

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Additional information

GOR001592527
Introduction To Neural Networks
Phil Picton
Used - Very Good
Paperback
Palgrave Macmillan
1994-05-12
176
0333618327
9780333618325
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us.