摘要
应用人工神经网络分别建立了震级与地表断裂长度及活断层长度的关系，一定程度上提高了由断裂或断层长度预测震级的可靠性．
In this paper, the Artificial Neural Networks are applied to construct separately the relationships between magnitude and surficial fracture length and between magnitude and active fault length. It improves the reliability pre-estimating magnitude with fracture length.
基金
云南省应用基础研究基金
关键词
神经网络
震级
断裂长度
地震
预测
Artificial Neural Network
magnitude
surficial fracture
active fault
