APPLICATION OF FUZZY NEURAL HYBRID NETWORKS TO STATE PREDICTION
Publish place: 11th International Power System Conference
Publish Year: 1375
Type: Conference paper
Language: English
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Document National Code:
PSC11_035
Index date: 14 September 2007
APPLICATION OF FUZZY NEURAL HYBRID NETWORKS TO STATE PREDICTION abstract
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.
APPLICATION OF FUZZY NEURAL HYBRID NETWORKS TO STATE PREDICTION authors
Faridoon Shabani
The Klipsch School of Electrical and Computer Engineering New Mexico State University Las Cruces, NM ۸۸۰۰۳ U.S.A
Abbas Ghassemi
The Klipsch School of Electrical and Computer Engineering New Mexico State University Las Cruces, NM ۸۸۰۰۳ U.S.A
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