摘要
通过试验资料分析 ,建立了基于神经网络方法的碳纤维布加固混凝土梁受弯承载力预测的BP算法结构模型 ,通过模型预测值与试验结果的比较 ,证明了该模型的有效性和精度可以用于预测碳纤维布加固混凝土梁的受弯承载力。最后 。
A forecasting model of bearing capacity in bending of RC beams with carbon fiber sheets by BP algorithms of Neural Network(NN) has been established and trained based on example patterns from published experimental data in this paper.The validity and forecasting precision of the model has been proved by contrasting predictions and test results.Finally,an initial analysis of the influencing factors has also been done.
出处
《工业建筑》
CSCD
北大核心
2002年第4期1-5,共5页
Industrial Construction
基金
国家"九五"重点科技攻关项目 (项目号 :96 A14 0 4 0 3 )
