This volume covers the integration of fuzzy logic and expert
systems. A vital resource in the field, it includes techniques for
applying fuzzy systems to neural networks for modeling and control,
systematic design procedures for realizing fuzzy neural systems,
techniques for the design of rule-based expert systems using the
massively parallel processing capabilities of neural networks, the
transformation of neural systems into rule-based expert systems,
the characteristics and relative merits of integrating fuzzy sets,
neural networks, genetic algorithms, and rough sets, and
applications to system identification and control as well as
nonparametric, nonlinear estimation. Practitioners, researchers,
and students in industrial, manufacturing, electrical, and
mechanical engineering, as well as computer scientists and
engineers will appreciate this reference source to diverse
application methodologies.
Key Features
* 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
General
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