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Data Mining of Oil Productive Index with Artificial Neural Network

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成果类型:
期刊论文
作者:
He, X.*;Liu, J. J.
通讯作者:
He, X.
作者机构:
[He, X.; Liu, J. J.] Wuhan Polytech Univ, Dept Civil Engn, Wuhan 430023, Peoples R China.
通讯机构:
[He, X.] W
Wuhan Polytech Univ, Dept Civil Engn, Wuhan 430023, Peoples R China.
语种:
英文
关键词:
artificial neural network;Levenberg-Marquardt algorithm;data mining;knowledge discover;oil productive index
期刊:
ICIC 2009: SECOND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTING SCIENCE, VOL 2, PROCEEDINGS: IMAGE ANALYSIS, INFORMATION AND SIGNAL PROCESSING
年:
2009
页码:
265-268
机构署名:
本校为第一且通讯机构
院系归属:
土木工程与建筑学院
摘要:
Levenberg-Marquardt (shorted as L-M) algorithm is improved and adopted to train the neural network. The improved training algorithm leads to better convergence, faster convergent speed and higher precision. The proposed L-M neural network is used for geological data mining of oil productive index basing on the geological database. The process of geological spatial data mining and the geological knowledge discovering with L-M neural network are discussed. As an engineering case, data mining and knowledge discovering of the oil productive index basing on the reservoir property stored in the geol...

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