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An Improved Compensation Fuzzy Neural Networks and Using in Fault Diagnosis of Ventilation and Air-conditioning System
Pages: 121-125
Year: Issue:  2
Journal: Refrigeration & Air Conditioning

Keyword:  compensation fuzzy neural networksarithmetic improvingfault diagnosisventilation and air-conditioning system;
Abstract: 对传统补偿模糊神经网络(CFNN)的算法进行了改进,提出了动态调整学习步长的方法,避免了较大震荡,同时加快了迭代速度,与定学习步长的方法相比,学习速度和误差精度都有大大提高,最后通过仿真实验证明该方法在地下通风空调系统故障诊断中,具有收敛速度快,诊断精度高,并且适应性强等优点.
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