Computational Intelligence : A Compendium

Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.

Computational Intelligence paradigms have proven effective on real-world problems in virtually all disciplines including Science, Engineering, Business, healthcare, Management and Avionics. This handbook includes contributions from the leading international experts in their respective fields. There are twenty five chapters grouped in the following ten parts covering theoretical aspects and practical applications:

* Overview
* Data pre-processing, system integration and visualization
* Artificial Intelligence
* Logic and reasoning
* Ontology
* Intelligent Agents
* Fuzzy Systems
* Artificial neural networks
* Evolutionary paradigms and systems
* DNA and immunity-based computing

The handbook will be of interest to the students, researchers, professors and practitioner in the area of computational intelligence paradigms and their applications.