Shows how Fuzzy Logic and Neural Networks can be intgrated into a Model Reference Control context for real-time control of multivariable systems. It provides a unified architecture which accommodates several popular learning/reasoning paradigms, including Counter Propagation Networks, Radial Basis Functions and CMAC a fuzzy context. Unified treatment of fuzzy-algorithm-based and neural network based control systems. Introduces new fuzzy-nueral controller structures. Demonstrates the feasibility of proposed approach by showing applications. Graduate students of Neural Networks, Intellegent Control and fuzzy matters in depts of Electrical Engineering, Computer Science and Maths.
"synopsis" may belong to another edition of this title.
Shows how Fuzzy Logic and Neural Networks can be intgrated into a Model Reference Control context for real-time control of multivariable systems. It provides a unified architecture which accommodates several popular learning/reasoning paradigms, including Counter Propagation Networks, Radial Basis Functions and CMAC a fuzzy context. Unified treatment of fuzzy-algorithm-based and neural network based control systems. Introduces new fuzzy-nueral controller structures. Demonstrates the feasibility of proposed approach by showing applications. Graduate students of Neural Networks, Intellegent Control and fuzzy matters in depts of Electrical Engineering, Computer Science and Maths.
"About this title" may belong to another edition of this title.
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
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Hardcover. Condition: Near Fine. This book has rubbing and surface scratching to both covers, gently bumped top corners most notable on the back cover, and a black ink stamp on the interior of the front cover, otherwise this book is in excellent condition with crisp, unmarked pages, a tight binding, and a strong, clean cover. Seller Inventory # 1038510