Titlebook: Computational Intelligence; A Methodological Int Rudolf Kruse,Christian Borgelt,Pascal Held Textbook 20131st edition Springer-Verlag London

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Introductionst model.” The research area that is devoted to the study of connectionist models is called “connectionism.” Furthermore, the expression “parallel distributed processing” can often be found in relation to (artificial) neural networks.

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Elements of Evolutionary Algorithmsin undesired effects can be avoided by adapting the fitness function or the selection method. The last section of this chapter is devoted to genetic operators, which serve as tools to explore the search space, and covers sexual and asexual recombination and other variation techniques.

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Fundamental Evolutionary Algorithmsh tries to derive function expressions or even (simple) program structures with evolutionary principles). Finally, we take a look at related population-based approaches (like ant colony and particle swarm optimization).

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Textbook 20131st editionlutionary algorithms, fuzzy systems and Bayesian networks; covers the latest approaches, including ant colony optimization and probabilistic graphical models; written by a team of highly-regarded experts in CI, with extensive experience in both academia and industry.

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S. Bhatnagar,H. Prasad,L. PrashanthThe following sections treat mathematical topics that were presupposed in the text (e.g. about straight line equations and about regression), or side remarks, which would have disturbed the flow of the exposition (e.g. about activation transformation in a Hopfield network).

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