人工神经网络在短期资料风速估计方面的应用

详细信息

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

State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China

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。
- 风荷载 /
- 风速统计 /
- 人工神经网络 /
- 设计风速
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.
- wind load /
- statistics of wind speed /
- artificial neural network (ANN) /
- design wind speed