Computational Intelligence Collaboration, Fusion and Emergence /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mumford, Christine L. (Επιμελητής έκδοσης), Jain, Lakhmi C. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Intelligent Systems Reference Library, 1
• Θέματα: Computer science.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.; Applications of Mathematics.

This book is the first in a new series entitled "Intelligent Systems Reference Library". It is a collection of chapters written by leading experts, covering a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence (CI). Authors in thi...

Πίνακας περιεχομένων:

• Synergy in Computational Intelligence
• Computational Intelligence: The Legacy of Alan Turing and John von Neumann
• Fusing Evolutionary Algorithms and Fuzzy Logic
• Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem
• Fuzzy Evolutionary Algorithms and Genetic Fuzzy Systems: A Positive Collaboration between Evolutionary Algorithms and Fuzzy Systems
• Multiobjective Genetic Fuzzy Systems
• Adaptive Solution Schemes
• Exploring Hyper-heuristic Methodologies with Genetic Programming
• Adaptive Constraint Satisfaction: The Quickest First Principle
• Multi-agent Systems
• Collaborative Computational Intelligence in Economics
• IMMUNE: A Collaborating Environment for Complex System Design
• Bayesian Learning for Cooperation in Multi-Agent Systems
• Collaborative Agents for Complex Problems Solving
• Computer Vision
• Predicting Trait Impressions of Faces Using Classifier Ensembles
• The Analysis of Crowd Dynamics: From Observations to Modelling
• Communications for CI Systems
• Computational Intelligence for the Collaborative Identification of Distributed Systems
• Collaboration at the Basis of Sharing Focused Information: The Opportunistic Networks
• Artificial Immune Systems
• Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems
• Parallel Evolutionary Algorithms
• Evolutionary Computation: Centralized, Parallel or Collaborative
• CI for Clustering and Classification
• Fuzzy Clustering of Likelihood Curves for Finding Interesting Patterns in Expression Profiles
• A Hybrid Rule-Induction/Likelihood-Ratio Based Approach for Predicting Protein-Protein Interactions
• Improvements in Flock-Based Collaborative Clustering Algorithms
• Combining Statistics and Case-Based Reasoning for Medical Research
• Collaborative and Experience-Consistent Schemes of System Modelling in Computational Intelligence.