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APPLICATION OF FUZZY NEURAL HYBRID NETWORKS TO STATE PREDICTION
نويسندهگان:
Faridoon Shabani - The Klipsch School of Electrical and Computer Engineering New Mexico State University Las Cruces, NM 88003 U.S.A
Abbas Ghassemi - The Klipsch School of Electrical and Computer Engineering New Mexico State University Las Cruces, NM 88003 U.S.A
خلاصه مقاله:
In this paper, a fuzzy neural state predictor is presented. The fuzzy neural predictor uses the past estimated states and measurements vectors as entrance parameters, and it infers the next estimated states. The design of the fuzzy neural predictor is described. The results shows how the fuzzy neural predictor obtaining an accurate predict of the state. An example is presented to illustrate the performance and applicability of fuzzy neural predictor.
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