改进的BP网在求解偏心距增大系数η中的应用

APPLICATION OF A IMPROVED BP NEURAL NETWORK FOR SOLVING THE ECCENTRICITY MAGNIFICATION FACTOR η OF REINFORCED CONCRETE COLUMNS

以试验数据为依据，用改进的BP网建立了5个特征变量与实测偏心受压柱偏心距增大系数η的非线性映射关系。为求解偏心距增大系数η提出了一种全新的思路。

Based on experimental data, this paper establishes the relationship of nonlinear reflection between 5 variables and the eccentricity magnification factor η by a improved BP neural network. So it presents a new different approach to solve the eccentricity magnification factor η.