摘要
通过风洞模型试验得到了足够的样本,在此基础上利用MATLAB神经网络工具箱构造了2个BP人工神经网络;采用BR(Bayesianregularization)算法,比较了不同坐标系下的静力三分力系数的训练结果,得出4层网络比较有效且具有较高精度的结论.最后,提出了应用人工神经网络需要注意的问题.
Based on enough samples obtained by model experiments in wind tunnel, two BP artificial neural networks (ANNs) were constructed with the MATLAB toolbox of ANN. Then the two ANNs were used to train static coefficients in two different coordinate systems, i.e. body and wind coordinate systems, and training results of static coefficients of bridge section in the two coordinate systems were compared using the Bayesian regularization algorithm. The result shows that a four-layer network is more efficient and has better accuracy. Finally, some problems to the application of ANNs to the identification were pointed out.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2004年第6期740-743,757,共5页
Journal of Southwest Jiaotong University
基金
四川省学术带头人基金资助项目
