Download e-book for kindle: Computational Intelligence in Bioinformatics (IEEE Press by Gary B. Fogel

By Gary B. Fogel

ISBN-10: 0470105267

ISBN-13: 9780470105269

ISBN-10: 0470199083

ISBN-13: 9780470199084

Combining biology, computing device technological know-how, arithmetic, and records, the sphere of bioinformatics has develop into a sizzling new self-discipline with profound affects on all features of biology and commercial program. Now, Computational Intelligence in Bioinformatics bargains an advent to the subject, protecting the main correct and well known CI equipment, whereas additionally encouraging the implementation of those easy methods to readers' examine.

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USA, Vol. 98, pp. 11462–11467. Wunsch II, D. (1991) An Optoelectronic Learning Machine: Invention, Experimentation, Analysis of First Hardware Implementation of the ART1 Neural Network. D. Dissertation, University of Washington. , T. Caudell, D. Capps, R. Marks, and A. Falk (1993). “An optoelectronic implementation of the adaptive resonance neural network,” IEEE Trans. , Vol. 4, pp. 673–684. , G. Anagnostopoulos, and D. Wunsch II (2006). “Multi-class cancer classification using semisupervised ellipsoid artmap and particle swarm optimization with gene expression data,” IEEE/ACM Trans.

1, speciation is useful to obtain multiple species in evolutionary methods by restricting an individual to mate only with similar ones or manipulating its fitness with niching pressure at selection. Crowding, local mating, fitness sharing, and island GAs are representative speciation methods in an EA. 1 Example of explicit fitness sharing in fitness landscape. 3 Gene Selection with Speciated Genetic Algorithm 29 landscape by sharing fitness (resource) with similar individuals (species). This leads to avoid converging on a point, which is often appeared when using the simple GA.

Caligiuri, C. Bloomfield, and E. Lander (1999). “Molecular classification of cancer: class discovery and class prediction by gene expression monitoring,” Science, Vol. 286, pp. 531–537. Grossberg, S. (1976). “Adaptive pattern recognition and universal encoding II: Feedback, expectation, olfaction, and illusions,” Biol. , Vol. 23, pp. 187–202. , R. Tibshirani, and J. Friedman (2003). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York. Haykin, S. (1999).

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Computational Intelligence in Bioinformatics (IEEE Press Series on Computational Intelligence) by Gary B. Fogel


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