论文部分内容阅读
本文提出了一种利用多级ＢＰ神经网络进行石油测井信号分类的新方法．介绍了用多级ＢＰ网络处理测井信号的分类器算法和网络结构，并给出了针对理论模拟信号的分类结果及针对实际模型井信号的分类结果，其正确率可达９０％以上．
This paper presents a new method of multi-level BP neural network for oil well signal classification. The classification algorithm and network structure of logging signal processing using multi-level BP network are introduced. The classification results of the theoretical analog signal and the classification result of the actual model well signal are given, and the correctness rate is up to 90%.