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。
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. 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 higher accuracy of the method.
出处
《工程力学》
EI
CSCD
北大核心
2003年第5期10-13,共4页
Engineering Mechanics
基金
高等学校博士学科点专项科研基金资助项目(98014124)
国家自然科学基金资助项目(59878008)
