摘要
以地震特性的研究为出发点,以预报震级为最终目标,通过BP(Back Propagation)神经网络实现地震震级的预测算法,用仿真方法模拟个体行为对系统的影响,研究了地震震级的预测技术,并通过测试数据预测了系统的整体运行情况.
This paper aims at studying characteristics of the earthquake, and achieves the object of the earthquake forecast. By using the BP （Back Propagation） neural network, we simulate individual actives which effect on system by simulation method. Besides, we research the technology of the earthquake forecast, and predict the performance of the system by test data.
出处
《微电子学与计算机》
CSCD
北大核心
2008年第10期129-132,共4页
Microelectronics & Computer
关键词
BP神经网络
震级
安全
地震预测
BP neural network
magnitude
safe
the earthquake forecast
