用Kohonen神经网络进行智利地震区划
A chilean seismic regionalization through a Kohonen neural network
摘要：
本文介绍了一种基于神经网络的智利中部地震区划研究。一个场景与六个地震区域获得，独立的邻域的大小或达到的网格的细胞之间的相关性。地震区的空间发布与地理数据之间的高度相关性证实了我们对神经网络训练向量的选择。
英文摘要：
A study of seismic regionalization for central Chile based on a neural network is presented. A scenario with six seismic regions is obtained, independently of the size of the neighborhood or the reach of the correlation between the cells of the grid. The high correlation between the spatial distribution of the seismic zones and geographical data confirm our election of the training vectors of the neural network.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
