Overview

Full Product Details

Author:   Looney
Publisher:   Oxford University Press Inc
Imprint:   Oxford University Press Inc
Dimensions:   Width: 19.50cm , Height: 2.60cm , Length: 24.30cm
Weight:   1.020kg
ISBN:  

9780195079203

ISBN 10:   0195079205
Pages:   480
Publication Date:   20 February 1997
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Preface List of Tables Part I. FUNDAMENTALS OF PATTERN RECOGNITION 0.: Basic Concepts of Pattern Recognition 1.: Decision-Theoretic Algorithms 2.: Structural Pattern Recognition Part II. INTRODUCTORY NEURAL NETWORKS 3.: Artificial Neural Network Structures 4.: Supervised Training via Error Backpropagation: Derivations PART III. ADVANCED FUNDAMENTALS OF NEURAL NETWORKS 5.: Acceleration and Stabilization of Supervised Gradient Training of MLPs 6.: Supervised Training via Strategic Search 7.: Advances in Network Algorithms for Classification and Recognition 8.: Recurrent Neural Networks PART IV. NEURAL, FEATURE, AND DATA ENGINEERING 9.: Neural Engineering and Testing of FANNs 10.: Feature and Data Engineering PART IV. TESTING AND APPLICATIONS 11.: Some Comparative Studies of Feedforward Artificial Neural Networks 12.: Pattern Recognition Applications

Reviews

This is a fairly comprehensive introduction to feedforward neutral networks...the book is accessible and would be well-suited to serve as a text for its intended audience Short Book Review Vol. 17 No. 3 '... makes its subject easy to understand by offering intuitive explanations and examples... lives up to its claim as a practical neural network text and will be an excellent resource for those who want to implement neural networks, rather than just learn the theory.' Scientific Computing World, September 1997

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