摘要
将现有动态信号处理、模式识别等诊断技术与神经网络相结合 ,应用于混凝土构件的质量识别中 ,通过对实际构件有关数据的分析处理 ,表明利用BP神经网络进行混凝土构件质量评估实用可行 ,可使计算过程简单化 。
This paper combines dynamic signal processing technique,pattern recognition technique with neural network technique to examine the quality of concrete members.Relevant data analysis on the practical members shows that appliction of BP neural network is practical and feasible in quality examination of concrete members.The method simplifies its calculation process and unifies its evaluation criteria.
出处
《鞍山钢铁学院学报》
2002年第1期29-32,共4页
Journal of Anshan Institute of Iron and Steel Technology
关键词
神经网络
混凝土构件
质量识别
neural network
concrete members
qualtiy examination
