Produktbild: Springer Handbook of Computational Intelligence

Springer Handbook of Computational Intelligence

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.05.2015

Abbildungen

LV, 534 illus., 65 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Janusz Kacprzyk + weitere

Verlag

Springer Berlin

Seitenzahl

1634

Maße (L/B/H)

25,1/19,7/7,6 cm

Gewicht

3004 g

Auflage

2015

Sprache

Englisch

ISBN

978-3-662-43504-5

Beschreibung

Rezension

“This is not just a hand book but an encyclopedia/reference tool for computer scientists, engineers (bio, neuro, electric), and physicists dealing with complex mathematical problems. It describes the basic principles, theories, and historical development of Logic, computational sciences, EE, and neurophysiological background for modeling.” (Joseph J. Grenier, Amazon.com, April, 2016)

Portrait

Janusz Kacprzyk is editor in chief of the Springer series Studies in “Computational Intelligence”, “Studies in Fuzziness and Soft computing”, “Advances in Intelligent and Soft Computing” and “Intelligent Systems Reference Library”. He is the recent past president of the International Fuzzy Systems Association (IFSA) and recipient of the pioneer award of the IEEE Computational Intelligence Society.

Witold Pedrycz is the Editor-in-Chief of IEEE Transactions on Systems Man and Cybernetics-part A, Editor-in-Chief of the journal “Information Sciences” (Wiley) and Associate Editor of the IEEE Transactions on Fuzzy Systems. Witold Pedrycz is a recipient of the prestigious Norbert Wiener award from the IEEE Society of Systems, Man and Cybernetics.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.05.2015

Abbildungen

LV, 534 illus., 65 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

1634

Maße (L/B/H)

25,1/19,7/7,6 cm

Gewicht

3004 g

Auflage

2015

Sprache

Englisch

ISBN

978-3-662-43504-5

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 6221 3454301
Fax: +49 30 8214091

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  • Produktbild: Springer Handbook of Computational Intelligence
  • Many-Valued and Fuzzy Logics.- Possibility Theory and its Applications: Where Do we Stand?.- Aggregation Functions on [0; 1].- Monotone Measures-Based Integrals.- The Origin of Fuzzy Extensions.- From Type-2 Fuzzy Sets to Atanassov’s Intuitionistic Fuzzy Sets.- F-Transform.- Fuzzy Linear Programming and Duality.- Basic Solutions of Fuzzy Coalitional Games.- Basics of Fuzzy Sets.- Fuzzy Relations: Past, Present and Future.- Fuzzy Implications.- Fuzzy Rule Based Systems.- Interpretability of Fuzzy Systems.- Fuzzy Clustering.- An Algebraic Model of Reasoning to Support Zadeh’s CwW.- Fuzzy Control.- Interval Type-2 Fuzzy PID Controllers.- Soft Computing in Database and Information Management.- Application of Fuzzy Techniques to Autonomous Robots.- Foundations of Rough Sets.- Rough Set Methodology for Decision Aiding.- Rule Induction from Rough Approximations.- Probabilistic Rough Sets.- Generalized Rough Sets.- Fuzzy-Rough Hybridization.- Artificial Neural Network Models .- Deep and Modular Neural Networks.- Machine Learning.- Theoretical Methods in Machine Learning.- Probabilistic Modeling in Machine Learning.- Kernel Methods.- Neurodynamics .- Computational Neuroscience - Biophysical Modeling of Neural Systems .- Computational Models of Cognitive and Motor Control.- Cognitive Architectures and Agents.- Embodied Intelligence.- Neuromorphic Engineering.- Neuroengineering -- Sensorimotor-Computer Interfaces.- Evolving Connectionist Systems .- Machine Learning Applications.- Genetic Algorithms.- Genetic Programming.- Evolution Strategies.- Distribution Algorithms.- Parallel Evolutionary Algorithms.- Learning Classifier Systems.- Indicator-Based Selection.- Multiobjective Evolutionary Algorithms.- Parallel Multiobjective Evolutionary Algorithms.- Many-objective Problems: Challenges and Methods.- Memetic and Hybrid Evolutionary Algorithms.- Design of Representations and Search Operators.- Stochastic Local Search Algorithms.- Parallel Evolutionary Combinatorial Optimization.- How to Create Generalizable Results.- Computational Intelligence in Industrial Applications.- Solving Phase Equilibrium Problems.- Optimization of Machining Problems.- Physics-Based Surrogate Modelling in Evolutionary Optimization for Aerodynamic Design.- Evolutionary Combinatorial Optimization for Knowledge Discovery in Bioinformatics .- Integration of Metaheuristics and Constraint Programming.- Assessing the Effects of Recombination with the Graph Coloring Problem.- Metaheuristic Algorithms and Tree Decomposition.- Evolutionary Computation and Constraint Satisfaction.- Swarm Intelligence in Optimization and Robotics.- Preference-Based Multiobjective Particle Swarm Optimization.- Ant Colony Optimization for the Minimum-Weight Rooted Arborescence Problem.- Intelligent Swarm of Markovian Agents.- Honey Bee Social Foraging Algorithm.- Fundamental Collective Behaviors in Swarm Robotics.- Collective Manipulation and Construction.- Reconfigurable Robots.- Probabilistic Modeling of Swarming Systems.- Robust Evolving Cloud-Based Controller.- Evolving Embedded Fuzzy Controllers.- Multiobjective Genetic Fuzzy Systems.- Bio-Inspired Optimization.- Pattern Recognition with Modular Neural Networks.- Optimization of Interval Fuzzy Controllers for Autonomous Mobile Robots.- Implementation of Bio-Inspired Optimization Methods on Graphic Processing Units.- Acknowledgements.- About the Authors.- Subject Index.