摘要
依据混凝土标准试块强度检测数据,建立了混沌优化的神经网络计算模型,从而克服传统BP网络收敛速度慢、易出现麻痹现象等不足。与混凝土无损检测现行规程规定的方法相比较,该计算模型简单可行,搜索速度快,预测结果可靠、精度高。
A chaos optimum and neural network calculation model was built based on plenty of testing data of concrete intensity to cover the shortage of single BP neural network, such as slow astringency and easy torpidity. Compared with the algorithm stipulated in the current concrete nondestructive testing regulation, the model built was more simple and rapid for operation and higher in precision and reliability.
出处
《无损检测》
北大核心
2006年第3期123-126,共4页
Nondestructive Testing
关键词
超声检测
混凝土强度
信号处理
神经网络
Ultrasonic testing
Concrete intensity
Signal processing
Neural network
