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로직기반의 퍼지뉴럴 네트워크를 이용한 풍력발전기 출력예측
강종진(Jong-Jin Kang),예송범(Song-Bum Yea),차종현(Jong-Hyun Cha),김윤건(Yun-Gun Kim),강경호(Kyung-Ho Kang),탁동규(Dong-Kyu Tak),한창욱(Chang-Wook Han) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.7
This paper proposes the method to predict the wind turbine power generation using logic-based fuzzy neural networks. To predict the wind turbine power generation neural networks, logic-based fuzzy neural networks, and fuzzy neural models have been considered. But the model considered in this paper can predict the wind turbine power generation with a less complex structure. The simulation results show the effectiveness of the proposed method.