In this book, comprising recent research of leading researchers, a broad variety of problems is introduced, motivated, and then new results on these problems are presented. This handbook-like volume is for readers with theoretical as well as practical background knowledge about Computational Intelligence.

Broad variety of problems is introduced, motivated, and new results are presented An overview provides a systematic approach to Computational Intelligence techniques like fuzzy logic, evolutionary algorithms, and neural networks Current CI methods are discussed Theoretical foundations and hihgly relevant application examples complement each other Includes supplementary material: sn.pub/extras

Inhalt
1 Introduction.- I. Fuzzy Logic.- 2 Mathematical Foundations of Fuzzy Inference.- 3 Data-Based Fuzzy Modeling for Complex Applications.- 4 Fuzzy Modeling to Cope with Ambiguities.- II. Evolutionary Algorithms.- 5 Theory of Evolutionary Algorithms and Genetic Programming.- 6 Design of Evolutionary Algorithms and Applications in Surface Reconstruction.- 7 Genetic Programming and Its Application in Machining Technology.- III. Machine Learning and Optimization.- 8 Novel Learning Tasks, Optimization, and Their Application.