Titlebook: Introduction to Fuzzy Logic using MATLAB; S. N. Sivanandam,S. Sumathi,S. N. Deepa Book 2007 Springer-Verlag Berlin Heidelberg 2007 Applica

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書目名稱Introduction to Fuzzy Logic using MATLAB網(wǎng)絡(luò)公開度




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esearch projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference. .978-3-642-07144-7978-3-540-35781-0

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hniques in many visual recognition tasks over the years. In the traditional methods, the features of the images to be recognized and then segmented are often hand-coded. This might seem quite simple at first and easy to implement but then as the complexity of the problems increases, these methods st

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ablate

gence. The dominant force driving many of these early investigations of the ontogeny of children’s cognition was that of associationism (e.g., Kendler & Kendler, 1962; Suppes & Ginsberg, 1963). As enthusiasm for this metaphor of cognition waned, Piaget’s (e.g., Inhelder & Piaget, 1958) logicism grew

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11), the stimulus-response connection was psychology’s preeminent mental metaphor for half a century. Over the years, it had profound influences on cognitive development (cf. Berlyne, 1970), with theories of children’s discrimination transfer (e.g., Kendler & Kendler, 1962) being the quintessential

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