A simulation analysis method based on PSO-RBF model and its application
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In order to improve the effectiveness of thermal and heat insulation property of building wall of light wood structure, a research method of heat insulation property of building wall of light wood structure based on PSO-RBF model is proposed. Firstly, the construction and parameter of the adopted wall in the research of the Thesis is given and the corresponding heat insulation physical model and problem are described; secondly, the thermal and heat insulation property of building wall of light wood structure is researched and analyzed by using the proposed particle swarm optimization BP network algorithm; finally, the effectiveness of the proposed algorithm is verified through simulation experiment.
KeywordsParticle swarm algorithm RBF neural network Light wood Thermal insulation
Green technology improved integration and demonstration of traditional timber structure house(2015BAL03B03).
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