Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.
- 148 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
An Introduction to Neural Networks
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Table of contents
- Book Cover
- Half-Title
- Title
- Copyright
- Contents
- Preface
- Chapter One Neural networks—an overview
- Chapter Two Real and artificial neurons
- Chapter Three TLUs, linear separability and vectors
- Chapter Four Training TLUs: the perceptron rule
- Chapter Five The delta rule
- Chapter Six Multilayer nets and backpropagation
- Chapter Seven Associative memories: the Hopfield net
- Chapter Eight Self-organization
- Chapter Nine Adaptive resonance theory: ART
- Chapter Ten Nodes, nets and algorithms: further alternatives
- Chapter Eleven Taxonomies, contexts and hierarchies
- Appendix A The cosine function
- References
- Index
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Yes, you can access An Introduction to Neural Networks by Kevin Gurney in PDF and/or ePUB format, as well as other popular books in Computer Science & Operating Systems. We have over 1.5 million books available in our catalogue for you to explore.