关键词: 勘探目标, 优选, 人工神经网络, 多元回归分析, 库车坳陷, 应用效果

Abstract: The artificial neural network method and the multiple regression analysis were respectively applied to the optimal prediction of traps in the northern area of Kuga depression.The results show that the former is superior to the latter.There is a complicated nonlinear relationship between trap quality and its related geological factors.The artificial neural network method can describe nonlinear relationship of the multiple geological factors,while the multiple regression analysis method only describes the linear relationship.Hence,it is suggested that the artificial neural network method should be adopted when a complex relationship of multiple geological factors is taken into account. However,the multiple regression analysis method can work as an auxiliary way,because it is in a good position for calculation at a high speed and can express the affinity order between the prospects and its related geological factors,but the artificial neural network method can't do that.

Key words: exploration prospect, optimization, artificial neural network, multiple regression analysis, Kuqa depression, application result