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Correlation methods based on wavelet of base-level cycle neural network
作者姓名:Xingke  XU  Changwei  CHEN  Jing  SUN  Qinglong  MENG
作者单位:College of Earth Sciences, Jilin University, Changchun 130061, China
摘    要:The authors discussed the method of wavelet neural network (WNN) for correlation of base-level cycle. A new vectored method of well log data was proposed. Through the training with the known data set, the WNN can remenber the cycle pattern characteristic of the well log curves. By the trained WNN to identify the cycle pattern in the vectored log data, the ocrrdation process among the well cycles was completed. The application indicates that it is highly efficient and reliable in base-level cycle correlation.

关 键 词:子波神经系统网络  地层学相关性  带齿三角带  基准面旋回划分
文章编号:1673-9736(2007)01-0025-04

Correlation methods based on wavelet of base-level cycle neural network
Xingke XU Changwei CHEN Jing SUN Qinglong MENG.Correlation methods based on wavelet of base-level cycle neural network[J].Journal of Geoscientific Research in Northeast Asia,2007,10(1):25-28.
Abstract:
Keywords:wavelet neural network  stratigraphic correlation  base-level cycle  vector
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