Computational Intelligence: Engineering of Hybrid Systems by Mircea Negoita

| septiembre 28, 2011 | 0 Comentarios
Computational Intelligence: Engineering of Hybrid Systems by Negoita
DESCRIPCIÓN DEL LIBRO

The purpose of this book is to illustrate the current needs and to emphasize the future needs for the interaction between various Intelligent Technologies. The team writing this book did this firstly by encouraging the ways that Intelligent Technologies may be applied in those areas where they are already traditional, as well as pointing towards new and innovative areas of application involving emergent technologies such as DNA Computing, Artificial Immune Systems and Evolvable Hardware. Secondly, to help encourage other disciplines to engage in a dialogue with practitioners of Hybrid Intelligent Systems engineering, outlining their problems in accessing these new methods in the engineering of Hybrid Intelligent Systems, and also suggesting innovative developments within the area itself.

El propósito de este libro es mostrar las necesidades actuales y enfatizar en las necesidades futuras de la interacción entre las diferentes Tecnologías Inteligentes. El equipo de redacción de este libro lo hizo en primer lugar, mediante el fomento de las formas en que las tecnologías inteligentes pueden aplicarse en aquellas áreas donde son ya tradicionales, así como apuntando hacia áreas nuevas e innovadoras de aplicación relacionados con las tecnologías emergentes, tales como Computación ADNSistemas Inmunológicos Artificiales y Evolución del Hardware.

TABLA DE CONTENIDO

1. Intelligent techniques and computational intelligence

1.1 “Computational” and “Artificial”
1.2 Key features of intelligent systems
1.3 Classification of hybrid intelligent systems

2. Neuro-fuzzy based hybrid intelligent systems for fault diagnosis

2.1 Introduction
2.2 Methods of NN-FS Hybridization
2.3 Case example: Fault detection and insolation of an Electro-Pneumatic Valve

3. Neuro-fuzzy integration in hybrid intelligent systems

3.1 Neuro-fuzzy integration
3.2 Knowledge representation
3.3 Concluding remarks

4. Fuzzy rules extraction from connectionist structures

4.1 Introduction
4.2 Fuzzy rules extraction
4.3 Case studies to extract fuzzy rules using rules fuzzy interactive connectives
4.4 Concluding connectives

5. Integration of explicit and implicit knowledge in hybrid intelligent systems

5.1 Introduction
5.2 A formal description of implicit and explicit knowledge-based intelligent systems
5.3 Techniques of integrating the implicit and explicit knowledge into hybrid intelligent systems
5.4 Concluding remarks on explicit and implicit knowledge integration

6. Practical implementation aspects regarding real-world application of hybrid intelligent systems

6.1 An overview on application area of hybrid intelligent systems
6.2 WITNeSS – Wellington Institute of Technology Novel Expert Student Support
6.3 GA Relied hybrid intelligent systems
6.4 A modular intelligent knowledge-based system for predictive toxicology: NIKE

7. New trends of developing hybrid intelligent systems – AIS Hybridization and DNA-Hybridization

7.1 A brief introduction to AIS computing framework
7.2 A survey on AIS application to hybrid intelligent systems
7.3 A brief introduction to fundamentals of DNA computing
7.4 A survey on DNA applications to hybrid intelligent systems

8. Genetic algorithms based hybrid intelligent systems

8.1 GA based hybrid intelligent systems in fuzzy information processing
8.2 HIS design methods for high performance GA
8.3 GA based hybrid intelligent systemsfor neural networks design and optimization
8.4 GA based hybrid intelligent systems in industrial applications
8.5 GA based hybrid intelligent systems in evolvable hardware implementation
References
CARACTERÍSTICAS DE LA DESCARGA
Título: Computational Intelligence: Engineering of Hybrid Systems
Autor: Mircea Negoita
Idioma: Inglés
Año de Publicación: 2005
Edición: Volum 174
Número de Páginas: 213
Formato: .pdf
Peso del Archivo: 4.3 Mb
Compresor de Archivos: .ZIP
OPCIONES PARA DESCARGAR EL LIBRO GRATIS

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Categoría: Ingeniería de Sistemas

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