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Soft Computing Approach to Pattern Classification and Object Recognition - A Unified Concept (Paperback, 2012 ed.)
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Soft Computing Approach to Pattern Classification and Object Recognition - A Unified Concept (Paperback, 2012 ed.)
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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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