- Fuzzy system techniques applied to neural networks for modeling and control
- Systematic design procedures for realizing fuzzy neural systems
- Techniques for the design of rule-based expert systems
- Characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets
- System identification and control
- Nonparametric, nonlinear estimation
Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies
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