【摘要】 自组织神经网络是一种学习能力强、收敛速度快的智能系统,可用于解决分类、聚类、识别异常等问题。依据煤田地震勘探中的地震波运动学和动力学特征,提取地震波的最大互相关系数、分形关联维、主频、频带宽度、主频带能量共五组特征参数,利用自组织神经网络横向预测地质异常。计算结果表明,该方法可行,可望成为预测地质异常的一种有效方法。更多还原

【Abstract】 Self-organized nervenet is an intelligent system with strong study ability and rapid astringency which can be used in solving classification,clustering and identification of abmormity. It is used to forecast geologi- cal abnormity transeversely in this paper based on the characteristics of kinematics and dynamics of earth- quake wave, five groups parameters are selected such as the maximal correlatable coefficient of earthquake wave,relevant dimension,main frequency, bandwidth and the energy of main band. Results show that this method is feasible and can be an efficient method to forecast the geological abnormity.更多还原