摘要
本文首先介绍人工神经元网络模型，包括神经元结构、网络结构及其学习算法─ＢＰ算法。然后简要介绍了人工神经元网络在地震预报、地震工程、地震信号识别、地球物理勘探及卫星遥感等地球物理问题中的应用。分析结果表明：运用人工神经元网络比使用传统的统计方法结果更精确、使用更方便、适应性更强。因而人工神经元网络在地球物理问题的研究中有广泛的应用前景。
This paper firstly gives a description of artificial neural network models,including the structuresof neural cells and neural network as well as their learning algorithms─Back Propagation algo-rithms,and secondly briefs the application of the artificial neural network in geophysics,such asearthquake prediction,earthquake engineering,indentification of seismic signals,geophysical explo-ration as well as satellite remote sensing and etc.The analysis shows that the results obtained by usingthe artificial neural network result in higher accuracy,more convenient to use and show greater adapt-ability than by using the traditional statistical methods,Therefore,there is a broad prospect of the ap-plication of artificial neural network in the research on geophysics.
出处
《国际地震动态》
1995年第1期9-14,共6页
Recent Developments in World Seismology
关键词
神经网络
地球物理
地震预报
非线性理论
nonlinear theory
earthquake prediction
earthquake engineering
geophysical exploration
