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人工神经网络与劲性混凝土柱截面设计
引用本文:王庆利,康清梁,曹平周.人工神经网络与劲性混凝土柱截面设计[J].河海大学学报(自然科学版),1999,27(6):48-51.
作者姓名:王庆利  康清梁  曹平周
作者单位:河海大学土木工程学院,南京,210098
摘    要:针对土木工程采用图表进行结构设计的不足,在劲性混凝土柱截面受力理论计算的基础上,综合考虑影响截面性能的主要因素,确定劲性混凝土柱截面设计的人工神经网络模型,该模型具有两个隐含层,分别具有4,9个隐含节点,优化了学习参数,用该模型对不贩样本集合分别进行学习与设计,设计结果与试件实际参数吻合良好,表明应用人工神经网络进行劲性混凝土柱截面设计不仅可行,而且精度较高。

关 键 词:人工神经网络  劲性混凝土柱  截面设计
修稿时间:1999-04-20

Artificial Neural Network and Cross-Section Design of Steel Reinforced Concrete Columns
Wang Qingli,Kang Qingliang,Cao Pingzhou.Artificial Neural Network and Cross-Section Design of Steel Reinforced Concrete Columns[J].Journal of Hohai University (Natural Sciences ),1999,27(6):48-51.
Authors:Wang Qingli  Kang Qingliang  Cao Pingzhou
Abstract:To overcome the short coming in structural design by use of diagrams tables in civil engineering, on the basis of theoretical calculation of the cross section of steel reinforced concrete columns, an artificial neural network model for cross section design of steel reinforced concrete columns is developed considering the main factors. This model has 2 hidden layers with 4 and 9 nodes respectively; several learning parameters are optimized; some specimens are studied and designed by this model, and the results coincide well with the factual parameters of speciments, showing that artificial neural network is feasible and precise in the design of the cross section of steel reinforced concrete columns.
Keywords:artificial neural network  steel reinforced concrete columns  cross  section design
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