书目名称 | Soft Computing Approach to Pattern Classification and Object Recognition | 副标题 | A Unified Concept | 编辑 | Kumar S. Ray | 视频video | | 概述 | Outlines a unified approach to supervised pattern classification and model-based occluded object recognition.Presents an innovative, new interpretation of multidimensional fuzzy implication (MFI) and | 图书封面 |  | 描述 | 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 | 出版日期 | Book 2012 | 关键词 | fuzzy relational calculus; genetic algorithm; multilayer perceptron; object recognition; pattern classif | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4614-5348-2 | isbn_softcover | 978-1-4899-9010-5 | isbn_ebook | 978-1-4614-5348-2 | copyright | Springer Science+Business Media New York 2012 |
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