基于粗糙集理论的中长期风速预测-吾爱文库网 KEY WORDS: wind speed prediction; rough set; chaos neural network; persistence model [gap=208]关键词：风速预测；粗糙集；混沌神经网络；持续模型
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The comparison of persistence,ARIMA and BP neural network methods in wind speed prediction application of 1h in advance was discussed. To avoid the seasonality influence,models were built respectively for every calendar month.
对持续法、ARIMA和BP网络三种方法在提前1 h风速预测中的应用进行了研究和比较。
参考来源 - 三种方法在风速预测中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Then the chaotic time series theory is introduced into the wind speed prediction.
然后将混沌时间序列的相关理论引入到风速、风功率预测中。
Three main reasons for low precision of ship speed loss prediction in wind and waves are analyzed to define thinking way to solve the problem.
通过对失速预报精度不高的三个主要原因进行了分析，明确了解决问题的思路。
The prediction of speed-loss in wind and waves cannot satisfy navigators' needs and is currently a subject demanding prompt solution in navigation technology field.
舰船在风浪中的失速预报难以满足海上实践需求，是当前航海科学技术领域亟待解决的课题。
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