Dynamic compensatory pattern matching in a fuzzy rule-based control systemA dynamic compensatory matching procedure is suggested as a method to generate an aggregated measure for evaluating the appropriateness of rules for control systems. It is a dynamic weighted matching technique which takes into account incomplete information under real-time requirements. The initial weights of importance of variables are generated with a generalized neural network architecture and a gradient descent algorithm. An intuitive compensatory scheme based on correlations among input variables of training data is adopted so that the system is coherent to a noisy environment.
Document ID
19920046456
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Sun, Chuen-Tsai (California, University Berkeley, United States)