自组织竞争网络在测井资料岩性识别中的应用

Application of Self-organization Competition Network in Log Data Lithological Identification

利用自组织神经网络自组织自学习的学习能力的特点，在分析影响岩性识别因子的基础上，建立了基于MATLAB的自组织竞争网络模型。通过比较基本竞争型网络和自组织特征映射网络两种网络结构实现岩性分类。实验结果表明，利用自组织竞争网络模型对测井资料岩性识别是可行的，正确率高，为岩性识别的研究提供了新方法。

Using self-organizing and self-learning ability of self-organizing neural network,analyze the impact factor to establish self-organizing competitive network model based on MATLAB.By comparing the two structures of basic competitive network and self-organizing competitive network to achieve lithology classification.Experimental results show that the use of self-organizing network model of competition test well lithology identification information is feasible,the correct rate,for the lithology of the research to identify new methods.