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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 accuracy of Roots blower performance prediction, the application of wavelet neural network is deeply studied. The main performance parameters of Roots blower are analyzed. The basic theory of wavelet neural network is researched. The genetic algorithm is used as the training algorithm of wavelet neural network. The simulation is carried out. The simulation results show that the method has high prediction accuracy.