介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
通过对矿井瓦斯涌出量时间序列的模糊分形处理，用BP神经网络对影响因素间的非线性关系进行拟合。
After the time series fuzzy fractal processing of the mine gas emission quantity, the non linear relations of the influence factors were combined with BP neural network.
实例结果表明时间序列经模糊滑动平均处理后，随机波动对神经网络预测精度的影响可大大减小。
A fuzzy preprocessing method. that is. fuzzy sliding averaging. is Proposed to decrease the influence of random, an example shows the improvement of the forecasting neural network.
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