关于偏心距增大系数η的神经网络知识库研究

Research on Knowledge Base of the Eccentricity Magnification Factor η Based on Neural Networks

提出了基于神经网络的偏心受压构件偏心距增大系数η的计算方法，突破了传统的由实验数据拟合半理论半经验公式的思想，提供了一种全新的思路．应用该方法可以在结构ＣＡＤ中建立一种开放型的知识库，为结构计算提供更为准确的依据．

Based on artificial neural network,this paper presents a new method of estimating the eccentricity magnification factor η of reinforced concrete columns.It breaks through the traditional idea of setting up semi theory and semi experience formulas based on experimental data, and provides a new different approach.According to the method,an opening knowledge base is established in engineering CAD and a more accurate result can be presented for structural calculation.