摘要
采用BP神经网络代替传统的基于最小二乘法的多项式拟合。通过网络训练,建立了基于BP神经网络的存储式测井仪数据回放模型,并对实验标定数据进行了对比处理。实验结果表明,BP神经网络技术是提高测井仪数据回放精度的有效方法。
The polynomial fitting based on least square method was replaced by neural network BP. The data playback model of memory-logging tool based on the neural network BP was established by training the network, and the two methods were compared through processing demarcate data. The results showed that the technology of neural network BP is an effective method to improve the data playback precision of memory-logging tool.
出处
《西部探矿工程》
CAS
2009年第10期46-49,共4页
West-China Exploration Engineering
基金
西安理工大学青年基金资助项目(102-210506)
西安理工大学教学研究资助项目(102-007501)
