Research of Buildings Reliability Evaluation Model Base on Fuzzy Neural Network
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.
neural network genetic algorithm evaluation model buildings reliability
Li Lan Zhu Ying-jie Qiu Xue-qin Li Zheng-lei
College of Computer Engineering ,Qingdao Technological University, Qingdao 266033,China Institute of Civil Engineering, Qingdao Technological University, Qingdao 266033,China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4365-4368
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）