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Intelligent algorithms for MATLAB super learning m
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The MATLAB algorithms super learning manual CD attached with the books, the manual of intelligent algorithms for MATLAB super learning contents on Markov chain model, AHP, Particle Swarm Optimization, genetic algorithms, Ant Colony algorithms, algorithm, neural network PID control algorithm, algorithm and so on. Intelligent algorithms for many beginners, there are certain difficulties, hard to understand program operations, data process, therefore give practical application difficult. Summary of the book will focus on intelligent algorithms, layman's introduction to and analysis of intelligent algorithms, use intelligent algorithms to solve engineering problems.
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Super MATLAB neural network study manual
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The Super MATLAB neural network learning Handbook CD with the book, the Super MATLAB neural network learning manual neural network structure as the main line, to learning for byline, combines a variety of examples, to enable the reader easily to understand and apply. This book is a concise introduction to MATLAB neural network design skills and comprehensive book. The MATLAB neural network learning manual super simple example to explain the detailed, both as a Science Graduate and undergraduate textbooks in colleges and universities, but also can be used as a reference book for research engineers and technicians.
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Super learning MATLAB image processing Handbook
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The super learning MATLAB image processing handbook covers a wide range, covering the general users that require the use of a variety of functions, described in detail in image processing using MATLAB. Book total is divided into 14 chapter, main including MATLAB based knowledge, and MATLAB basic operation and the program design, and graphics draws, and image processing base storage image of operation, and image of transform, and image of enhanced, and image compression coding technology, and image of recovery, and image segmentation technology, and mathematics morphology of application, and MATLAB image processing in actual in the of application, and MATLAB graphics user interface and the GUI in image processing in the of application,.
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