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Soft computing approach to pattern classification and object recognition : a unified concept

著者: Kumar S Ray
出版商: New York, NY : Springer, ©2012.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
数据库:WorldCat
提要:
Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to  再读一些...
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类型/形式: Electronic books
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Kumar S Ray
ISBN: 9781461453482 1461453488
OCLC号码: 813296759
描述: 1 online resource.
内容: Soft computing approach to pattern classification and object recognition --
Pattern classification based on conventional interpretation of MFI --
Pattern classification based on new interpretation of MFI --
Pattern classification based on new interpretation of MFI and floating point genetic algorithm --
Neuro-Genetic approach to pattern classification based on the new interpretation of MFI --
Knowledge-based occluded object recognition based on new interpretation of MFI and floating point genetic algorithm --
Neuro-fuzzy approach to occluded object recognition based on new interpretation of MFI.
责任: Kumar S. Ray.
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摘要:

Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework, one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data. In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity. Soft Computing Approach to Pattern Classification and Object Recognition is intended for researchers in the area of pattern classification and computer vision. Other academics and practitioners will also find the book valuable.

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From the reviews: "This book addresses the use of soft computing techniques for pattern recognition problems, starting with an interesting overview of how the conventional approach to pattern 再读一些...

 
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