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Statistical and Neural Classifiers | 
 enlarge | Author: Sarunas Raudys
Publisher: Springer
Category: Book
List Price: $149.00
Buy New: $140.17
You Save: $8.83 (6%)
New (3) Used (2) from $140.17
Sales Rank: 2173280
Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 289
Shipping Weight (lbs): 1.5
Dimensions (in): 9.4 x 6.3 x 1
ISBN: 1852332972
Dewey Decimal Number: 006.4
EAN: 9781852332976
ASIN: 1852332972
Publication Date: February 23, 2001
Availability: Usually ships in 1-2 business days
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Product Description
The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data analysis. Neural networks have been used successfully in a number of these fields, but so far their application has been based on a "black box approach", with no real understanding of how they work.
In this book, Sarunas Raudys - an internationally respected researcher in the area - provides an excellent mathematical and applied introduction to how neural network classifiers work and how they should be used to optimal effect. Among the topics covered are:
- Different types of neural network classifiers;
- A taxonomy of pattern classification algorithms;
- Performance capabilities and measurement procedures;
- Which features should be extracted from raw data for the best classification results.
This book will provide essential reading for anyone researching or studying relevant areas of pattern recognition (such as image processing, speech recognition, robotics, and multimedia). It will also be of interest to anyone studing or researching in applied neural networks.
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