摘要
建立了应用反向传播学习算法的多层前馈神经网络模型，对混合结构住宅建筑的主要工料消耗进行神经网络计算．以木门木窗和木门钢窗的砖墙住宅建筑为实例的计算结果表明，用神经网络估算住宅建筑工料消耗是非常有效的，借助该模型可实现主要工料消耗的快速估算．
A neural network model is used to estimate major materials and
labor consumption in housing building. The calculation demonstrates that this model is very
useful in estimating major materials and labor consumption. Using neural network model can
realize fast estimating.
出处
《华中理工大学学报》
CSCD
北大核心
1999年第5期88-90,共3页
Journal of Huazhong University of Science and Technology
关键词
住宅建筑
工料消耗
神经网络
估算
造价控制
housing building
material and labor consumption
neural
network estimating
