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《Earthquake Resistant Engineering and Retrofitting》 2010-01
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AMD Control of Wind Response of Flexible-high Building Using Fuzzy Neural Network Forecast Algorithm

Teng Jun,Shen Chong-sheng,Lu Zhi-xiong(Harbin Institute of Technology Shenzhen Graduate School,Shenzhen 518055,China)  
Based on the theory of fuzzy neural network of Takagi-Sugeno model,a predicted model of fuzzy neural network is established.The problem of time-delay in control is solved by using this model with the advantages of the neural network control and predictive control.How the fuzzy logic system is generated is studied in fuzzy neural network based on clustering.The shortcomings of self-learning ability of fuzzy control is solved by using clustering which is easy and fast to realize the control strategy of expert and the fuzzy rules of experience.Taking Shen Zhen Jing-ji financial center as a calculating example,the vibration of the building loaded on wind load is controlled by using fuzzy neural network prediction algorithm,the simulation results indicate that fuzzy neural network prediction algorithm can effectively reduce the acceleration response of high-rise flexible building.
【CateGory Index】: TU311.3
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