A vibration predicting method by artificial nerve network model is suggested on the basis of analysis on current vibration predicting method.
文章提出了应用人工神经网络模型进行颤振预报的方法。
Based on the measured vibration data, it found out the characteristic values that will reflect the vibrating condition and suggested a way to establish the artificial nerve network model.
结合实测振动数据，找出了足以反映振动状态变化的特征量，并给出了人工神经网络模型的程序实现方法。
The paper introduces the keystone of the artificial nerve network and the usual forward feedback network model. And the model theory was applied in the reservoir optimum operation.
本文介绍了人工神经网络基本原理和常用的前馈式网络模型，并将该模型理论应用到水库优化调度之中。
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