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Titlebook: Soft Computing Approach to Pattern Classification and Object Recognition; A Unified Concept Kumar S. Ray Book 2012 Springer Science+Busines

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Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm,calculus (FRC) and floating point genetic algorithm (GA). We introduce a new interpretation of multidimensional fuzzy implication (MFI) (see Eq. (A.4) of Appendix-A) to represent our knowledge about the training data set. The said new interpretation and the notion of an induced fuzzy pattern vector
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Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Gattern Recogn 23(1/2):121–146, 1990), and floating point Genetic Algorithm (GA) (Michalewicz in Genetic algorithm + data structures = evolution programs. Springer,1994). In the course of doing this we consider the same framework of pattern classification as stated in the previous chapters. We introd
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Book 2012ion 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-base
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