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Introduction to neural networks

By: Material type: TextTextPublication 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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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
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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.

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