西南石油大学学报(自然科学版) ›› 1999, Vol. 21 ›› Issue (3): 78-80.DOI: 10.3863/j.issn.1000-2634.1999.03.023

• 计算机与基础研究 • Previous Articles     Next Articles

APPLICATION OF SELF-ORGANIZING FEATURE MAP NEURAL NETWORK IN LITHOLOGICAL IDENTIFICATION

LIN Wanchang CHENG Wenbin TIAN Jidong   

  1. (Southwest Petroleum Inst)
  • Received:1999-03-19 Revised:1900-01-01 Online:1999-08-20 Published:1999-08-20
  • Contact: LIN Wan-chang

Abstract: neural network; lithological identification; pattern recognition; cluster analysis

Key words: The classical li, such as Bayesian method, regressive method et al. This paper introduces the, presented by T. Kohonen, to recognize the lithology based on the log data.T, self-organization and high fault tolerance capacit, the method has small amount of calculation and fas, and can automatically decide the

CLC Number: