Read e-book online Computational Intelligence and Its Applications: PDF

By H K Lam, Steve S H Ling, Hung T Nguyen

ISBN-10: 1848166915

ISBN-13: 9781848166912

This publication specializes in computational intelligence ideas and their purposes -- fast-growing and promising study issues that experience drawn loads of awareness from researchers through the years. It brings jointly many various facets of the present learn on intelligence applied sciences similar to neural networks, aid vector machines, fuzzy common sense and evolutionary computation, and covers a variety of purposes from development attractiveness and method modeling, to clever keep watch over difficulties and biomedical functions.

primary ideas and crucial research of varied computational options are provided to supply a scientific and powerful device for higher remedy of other purposes, and simulation and experimental effects are integrated to demonstrate the layout process and the effectiveness of the techniques.

Readership: Graduates and researchers in machine technological know-how, specially these specialising in synthetic intelligence, neural networks, fuzzy good judgment and development acceptance.

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Extra info for Computational Intelligence and Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques

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Pp. 435–442, (2000). [21] E. K. Burke, S. Gustafson, and G. Kendall, Diversity in genetic programming: an analysis of measures and correlation with fitness, IEEE Transactions on Evolutionary Computation. 8(1), 47–62, (2004). [22] X. H. Nguyen, R. I. McKay, D. Essam, and H. A. Abbass, Toward an alternative comparison between different genetic programming systems, Proceedings of the European Conference on Genetic Programming. pp. 67–77, (2004). [23] B. Naudts and L. Kallel, A comparison of predictive measures of problem difficulty in evolutionary algorithms, IEEE Transactions on Evolutionary Computation.

Lian, Z. Gu, and B. Jiao, A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan, Applied Mathematics and Computation. 175, 773–785, (2006). [4] C. J. Liao, C. T. Tseng, and P. Luran, A discrete version of particle swarm optimization for flowshop scheduling problems, Computer and Operations Research. 34, 3099–3111, (2007). [5] Y. Liu and X. Gu, Skeleton network reconfiguration based on topological characteristics of scale free networks and discrete particle swarm optimization, IEEE Transactions on Power Systems.

10(4), 459–472, (2006). [25] S. Janson and M. Middendorf, A hierarchical particle swarm optimizer for noisy and dynamic environments, Genetic Programming and Evolvable Machines. 7, 329–354, (2006). March 2, 2012 11:56 World Scientific Review Volume - 9in x 6in 01˙ws-rv9x6/Chp. F. W. H. hk ∗ Restoration of color-quantized images is rarely addressed in the literature, especially when the images are color-quantized with half-toning. Many existing restoration algorithms are inadequate to deal with this problem because they were proposed for restoring noisy blurred images only.

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Computational Intelligence and Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques by H K Lam, Steve S H Ling, Hung T Nguyen

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