摘要
为了能够提高罗茨鼓风机性能预测的准确性,深入地研究了小波神经网络在其中的应用。分析了罗茨鼓风机的主要性能参数;研究了小波神经网络的基本理论;将遗传算法作为了小波神经网络的训练算法;进行了仿真分析,仿真结果表明该方法具有较高的预测准确性。
In order to improve the correctness of performance prediction of roots blower, the application of wavelet neutral network on it is studied in depth. The main performance parameters of roots blower are analyzed; then the basic theory of wavelet neutral network is studied. And then the genetic algorithm is used as training tool of wavelet neutral network. The simulation is carried out; results show that this method has higher prediction correctness.
出处
《煤矿机械》
北大核心
2013年第9期52-54,共3页
Coal Mine Machinery
关键词
小波神经网络
遗传算法
罗茨鼓风机
性能预测
wavelet neutral network
genetic algorithm
roots blower
performance prediction
