• An Introduction to Neural Networks See large image

    An Introduction to Neural Networks (Paperback) By (author) Kevin Gurney

    Currently unavailable

    We can notify you when this item is back in stock

    | Add to wishlist

    OR try AbeBooks who may have this title (opens in new window).

    Try AbeBooks

    DescriptionThough 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.

Other books

Other books in this category
Showing items 1 to 11 of 11


Reviews | Bibliographic data
  • Full bibliographic data for An Introduction to Neural Networks

    An Introduction to Neural Networks
    Authors and contributors
    By (author) Kevin Gurney
    Physical properties
    Format: Paperback
    Number of pages: 234
    Width: 156 mm
    Height: 235 mm
    Thickness: 15 mm
    Weight: 362 g
    ISBN 13: 9781857285031
    ISBN 10: 1857285034

    BIC E4L: COM
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 03
    Nielsen BookScan Product Class 3: S10.3T
    B&T Modifier: Academic Level: 02
    B&T Modifier: Text Format: 06
    B&T General Subject: 227
    LC subject heading:
    B&T Merchandise Category: COM
    BIC subject category V2: UYQN
    BISAC V2.8: COM046000, COM043000, COM051240
    Ingram Subject Code: XE
    Libri: I-XE
    Warengruppen-Systematik des deutschen Buchhandels: 16300
    DC21: 006.32
    DC22: 006.32
    B&T Approval Code: A93203605
    BISAC V2.8: COM044000
    DC22: 006.3/2
    LC classification: QA76.87 .G87 1997
    Thema V1.0: UYQN
    Taylor & Francis Ltd
    Imprint name
    Publication date
    05 August 1997
    Publication City/Country
    Author Information
    Gurney; K. University of Sheffield, UK,
    Table of contents
    Neural Net - A Preliminary Discussion. The von Neumann Machine and The Symbolic Paradigm. Real Neurons - A Review. Artificial neurons. Non- binary signal communication. Introducing Time. Network Features. Alternative Node Types. Cubic Nodes and Reward. Penalty Training. Drawing Things Together - Some Perspectives.