Distance and attribute weighted k-nearest-neighbor and its application in reservoir porosity prediction

	Distance and attribute weighted k-nearest-neighbor and its application in reservoir porosity prediction
	Li, Chaoqun ; Jiang, Liangxiao ; Wu, Jia
	2009
发表期刊	Journal of Information and Computational Science
卷号	6 期号:2 页码:845-851
摘要	Porosity is an important parameter describing the quality of container rock, and it is of far reaching importance to production development and estimation of reserves. Therefore, high precision reservoir porosity prediction is the key problem to constructing geological model of reservoir. In this paper, we firstly investigate some typical regression algorithms, which can be used to address the reservoir porosity prediction problem. Then, we single out an improved k-nearest-neighbor algorithm via synchronously weighting the attributes and the distances. We call our improved algorithm distance and attribute weighted k-nearest-neighbor, simply KNNDAW. Our experimental results on four practical examples show that the accuracy of KNNDAW is much higher than those of the other algorithms used to compare. Copyright ©2009 Binary Information Press.
语种	英语
ISSN	1548-7741
收录类别	EI
EI入藏号	20092712163286
出版者	Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States
文献类型	期刊论文
条目标识符	http://ir.cug.edu.cn/handle/2XU834YA/278928
专题	教学院系_数学与物理学院
通讯作者	Li, Chaoqun
作者单位	1.Faculty of Mathematics, China University of Geosciences, Wuhan 430074, China 2.Faculty of Computer Science, China University of Geosciences, Wuhan 430074, China
推荐引用方式 GB/T 7714	Li, Chaoqun,Jiang, Liangxiao,Wu, Jia. Distance and attribute weighted k-nearest-neighbor and its application in reservoir porosity prediction[J]. Journal of Information and Computational Science,2009,6(2):845-851.
APA	Li, Chaoqun,Jiang, Liangxiao,&Wu, Jia.(2009).Distance and attribute weighted k-nearest-neighbor and its application in reservoir porosity prediction.Journal of Information and Computational Science,6(2),845-851.
MLA	Li, Chaoqun,et al."Distance and attribute weighted k-nearest-neighbor and its application in reservoir porosity prediction".Journal of Information and Computational Science 6.2(2009):845-851.