Introduction to neural networks

By:

Picton, Phil

Material type: Text

TextPublication details: Basingstoke, England : Macmillan, 1994.Description: viii, 168 p. : illustrationsISBN:

0333618327
9780333618325

Subject(s):

DDC classification:

004.65 PIC

Contents:

Preface - What is a Neural Network? - ADALINE - Perceptions - Boolean Neural Networks - Associative Memory and Feedback Networks - Probabilistic Networks - Self-organizing Networks - Neural Networks in Control Engineering - Threshold Logic - Implementation - Conclusions - References - Index

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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Main Library Reference	Reference	004.65 PIC (Browse shelf(Opens below))	Available		003687

Total holds: 0

Included Index.

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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