Abstract
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.
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