地震中期预报

将BP神经网络用于地震中期预报。

BP neural network is used in mid-term earthquake prediction .

调制块比在地震中期预报中的应用

Application of modulating block ratio to the medium-term earthquake prediction

基于均生函数的数学预测模型在地震中期预报中的应用

Application of mathematical model based on mean generation function in earthquake medium term prediction

广义信息维在首都圈地震中期预报中的应用

Application of the generalized fractal dimension of seismicity information to the middle-term earthquake prediction around the capital circle

基于临界现象的重整化群方法应用于地震中期预报有深刻的物理意义。

And the Renormalization Group method forthe criticality phenomenon of earthquakes has been applied into the medium-term earth-quake prediction with an obviously physical significance .

一种可行的地震中期预报方法&多因子综合概率法震情过程追踪与发震时间的综合概率预报

An Advisable Method for Medium-term Prediction ── Synthetic Probability Approach Based on Multi-factor TRACING FOR EARTHQUAKE SITUATION AND SYNTHETIC PROBABILITY PREDICTION FOR EARTHQUAKE OCCURRENCE TIME

江苏及南黄海中强地震的中期预报探索

Preliminary approach to the mid-range forecast of moderate earthquake in the Jiangsu Province and SOUTHERN-YELLOW sea

这一特征对我国大陆7级地震的中期预报与7级地震的发生地区的判定具有很现实意义。

This feature is practically important for the medium-term prediction of the earthquakes with M7 and the determination of the epicentral region in China continent .

前兆性地震平静在中期预报中的定量研究

Quantitative study of precursory seismic quiescence for medium term earthquake prediction

该方法对地震地点的中期预报有一定的意义。

The method is helpful to predict the middle period of earthquake place .

张北6.2级地震前的中期预报

Medium term prediction before Zhangbei m6 . 2 earthquake

丽江7.0级地震中期及短临预报&以洱源水动态资料为例

The medium and short-impending prediction for the M 7 0 Lijiang earthquake-taking water regime data from Eryuan as an example

正负地震差值Se值在华东地震中期预报的应用

Application of difference Se value of positive and negative earthquakes in the mid-term earthquake prediction in East China

地震非均匀度在华北地震中期预报中的应用

Seismic Inhomogenous Degree and Its Application to the Mid-term Earthquake Prediction in North China

地震活动性的定量化及其在地震中期预报中的应用

Seismicity Quantitation and Its Application to Mid term Earthquake Prediction