摘要
研究了利用BP神经网络进行分层介质结构超声识别的方法。应用理论模型分析了不同分层介质结构的回波,研究了用BP神经网络进行介质结构识别的算法与性能,结果表明它具有良好的识别效果,实际分层介质结构的正确识别率在90%以上。
A new method for identifying the structure of layered media using the BP neural network is proposed.The echoes of various layered media are analyzed with the theoreticalmodels.The algorithm and the performance of the identification are studied.Satisfactory i-dentification results have been obtained with a correct identifying rate higher than 90%。
出处
《华中理工大学学报》
CSCD
北大核心
1994年第11期50-54,共5页
Journal of Huazhong University of Science and Technology
关键词
超声回波
分层介质
神经网络
测井
ultrasonic echo wave
layered media
neural network
identification