%0 Journal Article
%T Neural Networks with an Optimization Algorithm to Gauge Concrete Strength<br>一种优化算法的神经网络在混凝土强度判定中的应用
%A WANG Ji-zong
%A NI Hong-guang
%A <br>王继宗
%J 系统工程理论与实践
%D 2001
%I 
%X This paper discussed characteristics of concrete strength prediction, and upon such analysis, built a multi-layer feed-forward neural network model to perform complex non-linear mapping. Also an emphasis is placed on some algorithms, among which, the basic BP algorithms prove to be incapable because of local minimum, and the introduced GOBPA (Global Optimization BP Algorithm) proves to be successful by results from computer simulation studies. A lot of tests on concrete specimens are performed and the studies show that neural networks perform well and the application of multi-layer feed-forward neural network to concrete strength prediction is feasible with higher accuracy.
%K multi-layer feed-forward neural network
%K concrete strength prediction
%K global optimization algorithm<br>多层前向神经网络
%K 混凝土强度早期判定
%K 优化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=881903DBC57DA0FB&yid=14E7EF987E4155E6&vid=659D3B06EBF534A7&iid=9CF7A0430CBB2DFD&sid=2F56B21F91C9B05B&eid=28F8B56DB6BEE30E&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=7&reference_num=14