A simulation analysis method based on PSO-RBF model and its application

作者：Xi Fei^*; Sun Youfu; Ruan Xuejun

来源：Cluster Computing, 2019, 22(S1): 2255-2261.

DOI：10.1007/s10586-018-2596-y

• Particle swarm algorithm
• RBF neural network
• Light wood
• Thermal insulation

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.

• 出版日期2019-1
• 单位南京林业大学