Cluster Computing

, Volume 22, Supplement 1, pp 2255–2261 | Cite as

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

  • Xi FeiEmail author
  • Sun Youfu
  • Ruan Xuejun


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.


Particle 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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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Timber Structure Building, College of Material Science and EngineeringNanjing Forestry UniversityNanjingChina
  2. 2.Department of Humanities & Social SciencesCollege of Nanjing Electromechanical Vocational and TechnicalNanjingChina

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