摘要
确定了劲性钢筋混凝土短柱抗剪承载力预测的人工神经网络模型，优化了学习参数，并用该网络模型对样本进行了学习与预测，结果比较理想．
A model was made. Learning parameters were optimized. Some specimen were studied and forecasted with it. The results proved effective.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1998年第5期456-458,共3页
Journal of Northeastern University(Natural Science)
基金
辽宁省科委资助
关键词
人工神经网络
钢筋混凝土短柱
抗剪承载力
WTBZ〗artificial neural net, steel reinforced concrete short column, shear bearing capacity.
