本论文探讨了BP神经网络的模型与结构，BP学习规则，构建了基于BP神经网络的时间系列预测模型，研究了神经网络的规模、推广能力等问题。
The thesis studied the BP neural network's model and structure, its studying rule, built up the time sequence based on BP neural network. Also studied the problem like network size, generalization.
通过长系列的降雨资料确定了水文年，通过考虑时间序列预测了未来一段时期的水文状况。
The hydrological year was determined by long series rainfall data and the hydrological regime was predicated by considering time series method.
采用模糊数学从属函数和异常系列方法，以大同-阳高地震为例，对强震发生的时间与地点预测进行研究。
We have studied the groundwater level anomaly before the Datong Yanggao earthquake by using the fuzzy mathematical method.
应用推荐