Robust Pattern Recognition Based on Fuzzy Objective Functions

Robust Pattern Recognition Based on Fuzzy Objective Functions
Author: 楊泰寧
Publisher:
Total Pages: 118
Release: 2000
Genre:
ISBN:


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Robust Pattern Recognition Based on Fuzzy Objective Functions
Language: en
Pages: 118
Authors: 楊泰寧
Categories:
Type: BOOK - Published: 2000 - Publisher:

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Pattern Recognition with Fuzzy Objective Function Algorithms
Language: en
Pages: 267
Authors: James C. Bezdek
Categories: Mathematics
Type: BOOK - Published: 2013-03-13 - Publisher: Springer Science & Business Media

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The fuzzy set was conceived as a result of an attempt to come to grips with the problem of pattern recognition in the context of imprecisely defined categories.
Pattern Recognition with Fuzzy Objective Function
Language: en
Pages: 256
Authors: James C. Bezdek
Categories: Cluster analysis
Type: BOOK - Published: 1981 - Publisher:

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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Language: en
Pages: 786
Authors: James C. Bezdek
Categories: Computers
Type: BOOK - Published: 2006-09-28 - Publisher: Springer Science & Business Media

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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition
Pattern Recognition Using Robust Discrimination and Fuzzy Set Theoretic Preprocessing
Language: en
Pages:
Authors:
Categories:
Type: BOOK - Published: 1907 - Publisher:

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Classification is the empirical process of creating a mapping from individual patterns to a set of classes and its subsequent use in predicting the classes to w