Computational Intelligence (2nd Ed., Softcover reprint of the original 2nd ed. 2016) A Methodological Introduction Texts in Computer Science Series
Auteurs : Kruse Rudolf, Borgelt Christian, Braune Christian, Mostaghim Sanaz, Steinbrecher Matthias
Introduction.- Part I: Neural Networks.- Introduction.- Threshold Logic Units.- General Neural Networks.- Multi-Layer Perceptrons.- Radial Basis Function Networks.- Self-Organizing Maps.- Hopfield Networks.- Recurrent Networks.- Mathematical Remarks for Neural Networks.- Part II: Evolutionary Algorithms.- Introduction to Evolutionary Algorithms.- Elements of Evolutionary Algorithms.- Fundamental Evolutionary Algorithms.- Computational Swarm Intelligence.- Part III: Fuzzy Systems.- Fuzzy Sets and Fuzzy Logic.- The Extension Principle.- Fuzzy Relations.- Similarity Relations.- Fuzzy Control.- Fuzzy Data Analysis.- Part IV: Bayes and Markov Networks.- Introduction to Bayes Networks.- Elements of Probability and Graph Theory.- Decompositions.- Evidence Propagation.- Learning Graphical Models.- Belief Revision.- Decision Graphs.
Written by a team of highly-regarded experts, with extensive experience in both academia and industry
Offers a profound theoretical introduction to computational intelligence for both students and practitioners
Provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software tools
Fully revised new edition, expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs
Includes supplementary material: sn.pub/extras
Date de parution : 06-2018
Ouvrage de 564 p.
15.5x23.5 cm