Introduction to neural networks
Picton, Phil :
Introduction to neural networks - Basingstoke, England : Macmillan, 1994. - viii, 168 p. : illustrations ;
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.
0333618327 9780333618325
Neural networks (computer science)
Nonlinear control.
Process control.
Artificial intelligence
004.65 / PIC
Introduction to neural networks - Basingstoke, England : Macmillan, 1994. - viii, 168 p. : illustrations ;
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.
0333618327 9780333618325
Neural networks (computer science)
Nonlinear control.
Process control.
Artificial intelligence
004.65 / PIC