Download e-book for iPad: Computational Intelligence In Manufacturing Handbook by Jun Wang, Andrew Kusiak

By Jun Wang, Andrew Kusiak

Regardless of the massive quantity of courses dedicated to neural networks, fuzzy good judgment, and evolutionary programming, few handle 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 zone and state of the art applications.This finished instruction manual comprises an outstanding stability of tutorials and new effects, that enables you to:obtain present informationunderstand technical detailsassess study potentials, anddefine destiny instructions of the sector production functions play a number one position in growth, and this guide offers a prepared connection with consultant you simply via those advancements.

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Additional info for Computational Intelligence In Manufacturing Handbook (Handbook Series for Mechanical Engineering)

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In the second stage, the resulting incidence matrix is then input to an ART-1 network that generates machine cells. In the last stage, the STORM plant layout model, an implementation of a modified steepest descent pairwise interchange method is used to determine the optimal layout. The limitation of the approach was that the ART-1 network needs an evaluation module to determine the number of part families and machine cells. Extending their work in [18], Kaparthi et al. [20] developed a robust clustering algorithm based on a modified ART-1 neural network.

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And Russell D. , Computational Mechanics, Southampton, 181-188. Pham D. T. and Aksoy M. , (1994), An algorithm for automatic rule induction, Artificial Intelligence in Engineering, 8, 277-282. Pham D. T. and Aksoy M. , (1995a), RULES : A rule extraction system, Expert Systems Applications, 8, 59-65. Pham D. T. and Aksoy M. , (1995b), A new algorithm for inductive learning, Journal of Systems Engineering, 5, 115-122. Pham D. T. and Dimov S. S. (1997), An efficient algorithm for automatic knowledge acquisition, Pattern Recognition, 30 (7), 1137-1143.

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