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.
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。
Principles of fuzzy neural network and FNN method are adopted for the numerical simulation of network modeling and forecasting of beams with finite deformation of two different materials.
本文运用模糊神经网络原理，采用学习结合型FNN方法，针对两种不同材料梁的大变形进行了网络建模和预测的数值仿真。
The fault forecasting technique and the numerical forecasting method are studied. An algorithm is given for the neural network in the course of forecasting.
探讨了故障预报技术的应用及其数值预测方法，给出了神经网络模型在预测过程中的算法。
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