摘要
自组织Ｋｏｈｏｎｅｎ网络是一种学习速度很快的神经网络，可以用于分类、聚类、解释等问题。本文依据奥灰岩地震波运动学和动力学特征，提取时间域最大互相关系数、分形关联维、频率域主频、频带宽度和主频带能量共５个参数，利用自组织（Ｓｅｌｆ－Ｏｒｇａｎｉｚｉｎｇ）Ｋｏｈｏｎｅｎ人工神经网络横向预测含水裂隙发育带。试算结果表明，方法可行，可望成为预测奥灰岩岩溶裂隙发育带的一种有效方法。
Self-organization Kohonen network is a fast learning neural network used to deal with problems of classification,clustering,interpretation and so on.This paper derived five parameters such as maximum crosscorrelation coefficient,fractal associative dimension in time domain,and dominant frequency,bandwidth and dominant energy in frequency domain according to the seismic kinematics and dynamic characteristics of Ordovician limestone.It made use of the self-organization Kohonen artificial neural network to predicate laterally the aqueous fractured zone.Experiments on real seismic data have showed that the technique was feasible.It cad become an effective method to predicate the karst fractured zone in Ordovician limestone.
出处
《煤田地质与勘探》
CAS
CSCD
北大核心
1998年第2期55-57,共3页
Coal Geology & Exploration
