Read e-book online Computational Intelligence In Manufacturing Handbook PDF

By Jun Wang, Andrew Kusiak

ISBN-10: 0849305926

ISBN-13: 9780849305924

Regardless of the massive quantity of guides dedicated to neural networks, fuzzy common sense, and evolutionary programming, few tackle the functions of computational intelligence in layout and production. Computational Intelligence in production guide fills this void because it covers the latest advances during this quarter and state of the art applications.This accomplished guide includes an exceptional stability of tutorials and new effects, that enables you to:obtain present informationunderstand technical detailsassess examine potentials, anddefine destiny instructions of the sphere production purposes play a number one position in development, and this instruction manual delivers a prepared connection with consultant you simply via those advancements.

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Extra resources for Computational Intelligence In Manufacturing Handbook (Handbook Series for Mechanical Engineering)

Sample text

Wang L. X. , (1992), Generating fuzzy rules by learning from examples, IEEE Trans. on Systems, Man and Cybernetics, 22(6), 1414-1427. , (1989), The GENITOR algorithm and selection pressure: Why rank-based allocation of reproductive trials is best, Proc. Third Int. Conf. on Genetic Algorithms and Their Applications, George Mason University, 116-123. Wilde P. , (1997), Implementation of a genetic algorithm for routing an autonomous robot, Robotica, 15(2), 207-211. Wooldridge M. J. and Jennings N.

Hong S. C. , (1996), Job shop scheduling using genetic algorithm, Proc. 3rd World Congress Expert Systems, Seoul, Korea, February, 351-358. Da Rocha Fernandes A. M. , (1996), Fuzzy expert systems for qualitative analysis of minerals, Proc. 3rd World Congress Expert Systems, Seoul, Korea, February, 673-680. , (1991), Handbook of Genetic Algorithms, Van Nostrand, New York. Drake P. R. and Choudhry I. , (1997), From apes to schedules, Manufacturing Engineer, 76 (1), 43-45. , (1994), Expert Systems Design and Development, Macmillan, New York.

Moon [23] took into account various practical factors encountered in manufacturing companies, including sequence of operations, lot size, and the possibility of multiple process plans. A neural network trained with the BP algorithm was proposed to automate the formation of new family during the classification process. The input patterns were formed using a customized feature-based coding system. The same model could easily be adapted to take more manufacturing information into consideration. Rao and Gu [24] combined an ART neural with an expert system for clustering machine cells in cellular manufacturing.

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Computational Intelligence In Manufacturing Handbook (Handbook Series for Mechanical Engineering) by Jun Wang, Andrew Kusiak

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