by Ahmad Taher Azar
Publisher: InTech 2010
Number of pages: 226
This book is intended to present fuzzy logic systems and useful applications with a selfcontained, simple, readable approach. It is intended for the intelligent reader with an alert mind. The book is written at a level suitable for use in a graduate course on applications of fuzzy systems in decision support, nonlinear modeling and control.
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by Norm Matloff - University of California, Davis
The materials here form a textbook for a course in mathematical probability and statistics for computer science students. Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security...
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Topics covered: parametric representation of shapes, modeling of dynamic continuous fluid flow process, plant layout optimal plot plan, atmospheric modeling, cellular automata simulations, thyristor switching characteristics simulation, etc.
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Presents new modelling and analysis techniques for the description of discrete event dynamic systems. Created within the text is a calculus which allows the derivation of analytical tools for computing the time behavior of this type of system.