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Pattern Classification: Neuro-fuzzy Methods and Their Comparison (Hardcover)

by Shigeo Abe (Author) "In pattern classification, an object is classified into one of the categories called classes using the features that well separate the classes ..." (more)

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Product details

Hardcover: 352 pages
Publisher: Springer; illustrated edition edition (11 Dec 2000)
Language English
ISBN-10: 1852333529
ISBN-13: 978-1852333522
Product Dimensions: 23.7 x 15.9 x 2.8 cm
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Amazon.co.uk Sales Rank: 3,578,366 in Books (See Bestsellers in Books)

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Product Description

Product Description
Neural networks have a learning capability but analysis of a trained network is difficult. On the other hand, extraction of fuzzy rules is difficult but once they have been extracted, it is relatively easy to analyze the fuzzy system. This book solves the above problems by developing new learning paradigms and architectures for neural networks and fuzzy systems.The book consists of two parts: Pattern Classification and Function Approximation. In the first part, based on the synthesis principle of the neural-network classifier: A new learning paradigm is discussed and classification performance and training time of the new paradigm for several real-world data sets are compared with those of the widely-used back-propagation algorithm; Fuzzy classifiers of different architectures based on fuzzy rules can be defined with hyperbox, polyhedral, or ellipsoidal regions. The book discusses the unified approach for training these fuzzy classifiers; The performance of the newly-developed fuzzy classifiers and the conventional classifiers such as nearest-neighbor classifiers and support vector machines are evaluated using several real-world data sets and their advantages and disadvantages are clarified.In the second part: Function approximation is discussed extending the discussions in the first part; Performance of the function approximators is compared.This book is aimed primarily at researchers and practitioners in the field of artificial intelligence and neural networks.

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First Sentence
In pattern classification, an object is classified into one of the categories called classes using the features that well separate the classes. Read the first page

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