动力气候模式预测系统 DCMPS
相反,您必须尝试为系统预测最可能的故障模式,并决定在各种情况下,哪些操作最可能产生最有用的信息。
Rather, you must try to anticipate the most likely failure modes for the system and decide which actions are most likely to yield the most useful information in each case.
首先,你可以抽取混沌系统固有的基本模式,取得良好的预测。
First, you can milk underlying patterns inherent in chaotic systems to make good predictions.
本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。
In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.
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