摘要
文中概述了人工神经网络的原理和算法,利用1986—1992年全国年度趋势会商报告的资料来训练和检验神经网络。结果表明,网络经训练后具有较高的识别能力,在地震预报中有深入研究和进一步应用的价值。最后讨论了神经网络中几个重要参数的取值问题。
The principle and method of artificial neural network are briefly summarized in this paper, and the data, which were obtained form the Annual Report for Discussion on Earthquake Tendency in China ( 1986-1992) .are used to train and evaluate the neural network. The results show that network has good quality for pattern recognition, and is suitable for earthquake prediction to a certain extent. The effect of some important parameters of the network on the behavior of the network is also discussed in detail.
出处
《地震》
CSCD
北大核心
1995年第4期379-390,共12页
Earthquake
关键词
地震预报
神经网络
参数
Earthquake prediction, Artificial neural network, Parameter
