Development of a Self-Learning Approach : Applied to Pattern Recognition and Fuzzy Control

Language: English

Published by Südwestdeutscher Verlag Für Hochschulschriften, 2013

3838137159 / 9783838137155

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Systems based on fuzzy rules are widely used in the development of control, pattern recognition and machine intelligence systems. The structure of the fuzzy rule base is the most influential factor for the performance of fuzzy rule-based systems. This structure is defined by the number of fuzzy partitions and the formation relations used. The number and structure of the fuzzy partitions have to be defined during the design process. Thus, a large number of rules have to be generated. To avoid large computational costs, a reduction process is required. Current procedures for the design of fuzzy-based systems often do not take into account the signal or data specifications for the system considered. In the present study, a new approach for building a fuzzy rule-based system is developed. In this approach, design of the fuzzy rule base is based on the statistical properties of the data considered. A new framework is developed for automated and improved generation of fuzzy-based rules for identification and classification processes. Different benchmark data, comparative approaches, practical application , and hypothesis techniques are used to evaluate the effectiveness of this approach.

Seller Inventory # 9783838137155

Title
Development of a Self-Learning Approach : Applied to Pattern Recognition and Fuzzy Control
Author
Hammoud Aljoumaa
Publisher
Südwestdeutscher Verlag Für Hochschulschriften
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838137159
ISBN 13
9783838137155
Item weight
167 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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