Computational Intelligence A Methodological Introduction - Rudolf Kruse

This Textbook Provides A Clear And Logical Introduction To The Field, Covering The Fundamental Concepts, Algorithms And Practical Implementations Behind Efforts To Develop Systems That Exhibit Intelligent Behaviornbsp;in Complex Environments. This Enhanced Third Edition Has Been Fully Revised And Expanded With Content On Deep Learning, Scalarization Methods, Large-scale Optimization Algorithms, And Collective Decision-making Algorithms. Features: Provides Supplementary Material At An Associated Website; Contains Numerous Classroom-tested Examples And Definitions Throughout The Text; Presents Useful Insights Into All That Is Necessary For The Successful Application Of Computational Intelligence Methods; Explains The Theoretical Background Underpinning Proposed Solutions To Common Problems; Discusses In Great Detail The Classical Areas Of Artificial Neural Networks, Fuzzy Systems And Evolutionary Algorithms; Reviews The Latest Developments In The Field, Covering Such Topics As Ant Colony Optimization And Probabilistic Graphical Models.