Computational Intelligence

Engineering of Hybrid Systems
1. Auflage 2005
ISBN: 978-3-540-23219-3
Verlag: Springer

Buch, Englisch, Band 174, 213 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1130 g

Reihe: Studies in Fuzziness and Soft Computing

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Negoita, Mircea Gh.

Neagu, Daniel

Palade, Vasile

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)

Inhaltsverzeichnis

Intelligent Techniques and Computational Intelligence.- Neuro-Fuzzy based Intelligent Hybrid Systems for Fault Diagnosis.- Neuro-Fuzzy Integration in Intelligent Hybrid Systems.- Fuzzy Rules Extraction from ANNs.- Integration of Explicit and Implicit Knowledge in Intelligent Hybrid Systems.- Practical Implementation Aspects Regarding Real-World Applications of Intelligent Hybrid Systems (NEIKeS, WITNEeSS and other original applications).- New Trends of Developing Intelligent Hybrid Systems – AIS Hybridization and DNA Hybridization.- Genetic Algorithms Based Intelligent Hybrid Systems.