人工神经网络在短期资料风速估计方面的应用

APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN WIND SPEED ESTIMATION FROM SHORT-TERM RECORDS

  • 摘要: 设计风荷载值的确定是抗风结构设计的重要因素,短期风速资料的概率模型及其数字特征难以合理选取。将人工神经网络用于基于短期风速资料的设计风速估计,以弥补短期资料风速样本不足的缺陷。计算结果表明神经网络有较好的估计精度。

     

    Abstract: It is important to determine the load in wind resistance design, and it is difficult to choose the probability model and its statistical characteristics of short-term records. In this paper, artificial neural network (ANN) is adopted for design wind speed estimation from short-term records to offset the shortage of samples. Examples are provided to show the has high accuracy of the method.

     

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