Construct a Lithology Identification Model Based on Information Granulation

摘要：

　　In this study,we propose a lithology identification model based on Information Granulation (IG).As a hybrid of the artificial neural network and the fuzzy clustering,the model integrates both advantages.Using this model,the author constructs a lithology inference system and it has achieved an excellent result in well-logging data analyzing of the Chinese Continental Scientific Drilling (CCSD) project.

关键词： Information Granulation lithology identification model CCSD

作者: Xiangyu Yu Yixian Xu Huolin Ma

作者单位: Institute of Geophysics and Geomatics, China University of Geosciences, China

会议类型: 国际会议

会议名称: 第五届环境与工程地球物理国际会议(ICEEG 2012)

会议地点: 长沙

会议语种:英文

页码: 399-403

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）