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《Bulletin of Science and Technology》 2015-01
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Analysis of Unsteady Supporting Point Location Model for Large Building Frame Structure

Wei Lili;Institute of Architecture and mechanical engineering Chifeng University;  
the steady support of large building frame structure in the process of locating, prone to unsteady support area is too large, lead to the traditional method, because of the large signal distribution range reduced signal correlation, and can't accurate point, unable to realize accurate positioning china-africa steady state support for building structure, put forward a framework of large structures based on particle swarm optimization neural network structure of china-africa steady point positioning method, analyzes the particle swarm optimization(pso) algorithm and the concrete operation process of neural network algorithm, the steady state of building structure of the support area on information to calculate, will be the result of generation into the BP neural network, using the BP neural network to improve the regional confined information particles, making search to large building frame structure of china-africa steadystate and minimum support area, so as to realize accurate positioning structure unsteady point area.The simulation results show that the method for large structures, steady- state point calculation of frame structure of china-africa positioning effect is good, high precision.
【CateGory Index】: TU323.5
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