Research of Buildings Reliability Evaluation Model Base on Fuzzy Neural Network

被引：3
|
作者：
Li Lan [1 ]
Zhu Ying-jie [2 ]
Qiu Xue-qin [1 ]
Li Zheng-lei [1 ]
机构：
[1] Qingdao Technol Univ, Coll Comp Engn, Qingdao 266033, Peoples R China
[2] Qingdao Technol Univ, Inst Civil Engn, Qingdao 266033, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词：
neural network; genetic algorithm; evaluation model; buildings reliability;
D O I：
10.1109/CCDC.2009.5192402
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, A novel model integrating genetic algorithm and fuzzy neural network was proposed to solve the problem of buildings performance assessment. buildings reliability assessment is a critical component of any building evaluation system (BES) decision-making process. Genetic algorithm was to optimize the connection weights of fuzzy neural network to acquire approximate optimal solution, and fuzzy neural network tuned finely further. The results show that more scientific, effective, accurate assessment of building performance can be acquired with genetic algorithm-based fuzzy neural network model.
引用
收藏
页码：4365 / +
页数：2
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