E-Book, Englisch, Band 82, 444 Seiten, eBook
Abraham / Grosan / Pedrycz Engineering Evolutionary Intelligent Systems
Erscheinungsjahr 2008
ISBN: 978-3-540-75396-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 82, 444 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-540-75396-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews.- Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures.- Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design.- Evolution of Inductive Self-organizing Networks.- Recursive Pattern based Hybrid Supervised Training.- Enhancing Recursive Supervised Learning Using Clustering and Combinatorial Optimization (RSL-CC).- Evolutionary Approaches to Rule Extraction from Neural Networks.- Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller.- Evolutionary Fuzzy Modelling for Drug Resistant HIV-1 Treatment Optimization.- A New Genetic Approach for Neural Network Design.- A Grammatical Genetic Programming Representation for Radial Basis Function Networks.- A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth.- On the Design of Large-scale Cellular Mobile Networks Using Multi-population Memetic Algorithms.- A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem.- Particle Swarm Optimization with Mutation for High Dimensional Problems.