Introduction to neural networks / Phil Picton.
By: Picton, Philip
.
Material type: 
BookPublisher: Basingstoke : Macmillan, 1994Description: viii, 168 p. : ill. ; 24 cm. + pbk.ISBN: 0333618327.Subject(s): Neural networks (Computer science)DDC classification: 006.3 | Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 006.3 (Browse shelf(Opens below)) | 1 | Available | 00080963 |
Enhanced descriptions from Syndetics:
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.
Includes bibliographical references (pages 160-166) and index.
What is a neural network? -- ADALINE -- Perceptrons -- Boolean neural networks -- Associative memory and feedback networks -- Probabilistic networks -- Self-organizing networks -- Neural networks in control engineering -- Threshold logic -- Implementation -- Conclusions.