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提出了一种基于小波分析与BP神经网络的矿井工作面瓦斯浓度预测算法,综合利用了小波分析算法的信号去噪作用以及BP神经网络可以拟合任何非线性系统的能力,并采用Matlab软件实现了该算法在瓦斯浓度预测上的应用。试验结果证明,对于短期内的工作面瓦斯浓度预测,该算法具有较好的预测效果。
A gas concentration forecasting algorithm based on wavelet analysis and BP neural network is proposed. The comprehensive utilization of the signal denoising effect of wavelet analysis algorithm and the ability of BP neural network to fit any nonlinear system are realized by using Matlab software The application of the algorithm in gas concentration prediction. The experimental results show that the proposed method has a good predictive value for the gas concentration prediction in the short term.