Neural Computing - An Introduction
Seiten
2017
CRC Press (Verlag)
978-1-138-41309-2 (ISBN)
CRC Press (Verlag)
978-1-138-41309-2 (ISBN)
An explanation of the basic concepts of neural computation, this book is about the whole field of neural networks and covers the major approaches and their results. It aims to develop concepts and ideas from their simple basics through their formulation into power computational systems.
Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function.
A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.
Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function.
A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.
R Beale, T Jackson, both Department of Computer Science, Univeraity of York.
Preface 1 Introduction 2 Pattern Recognition 3 The Basic Neuron 4 The Multilayer Perception 5 Kohonen Self-Organising Networks 6 Hopfield Networks 7 Adaptive Resonance Memory 8 Associative Memory
| Erscheinungsdatum | 05.09.2017 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 630 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| ISBN-10 | 1-138-41309-7 / 1138413097 |
| ISBN-13 | 978-1-138-41309-2 / 9781138413092 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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