Introduction to neural networks

By: Picton, PhilMaterial type: TextTextPublication details: Basingstoke, England : Macmillan, 1994Description: viii, 168 p. : illustrationsISBN: 0333618327 ; 9780333618325Subject(s): Neural networks (computer science) | Nonlinear control | Process control | Artificial intelligenceDDC classification: 004.65
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 004.65 PIC (Browse shelf(Opens below)) Available 003687
Total holds: 0

Included Index.

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

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.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

© University of Vavuniya

---