DTIC ADA252232: Intelligent Signal Processing for Active pdf

DTIC ADA252232: Intelligent Signal Processing for Active

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This research is concerned with the use of neural architectures and fuzzy expert systems in nonlinear system identification and in the control of such systems. In particular, on-line identification/modeling is considered. The research has resulted in a technique where the network can evolve (in size) in time-so as to provide an optimal model/controller. Also an adaptive algorithm, which is less sensitive to initial values of the weights and the learning rate, has been developed. We have also established a common framework between neural networks and fuzzy expert systems and developed a neuro-fuzzy architecture that retains the best of the two areas. The use of the architectures and the adaptation algorithm has been demonstrated on a number of applications

• Creator/s: Defense Technical Information Center
• Date: 6/17/1992
• Year: 1992
• Book Topics/Themes: DTIC Archive, Ramamoorthy, P A, CINCINNATI UNIV OH DEPT OF ELECTRICAL AND COMPUTER ENGINEERING, *NEURAL NETS, *COMPUTER ARCHITECTURE, *EXPERT SYSTEMS, *FUZZY SETS, ALGORITHMS, MODELS, IDENTIFICATION, ADAPTATION, LEARNING, LOGIC, VALUE, WEIGHT, NONLINEAR SYSTEMS, TIME, RATES, CONTROL

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