应用遗传神经网络模型对台阶压碴爆破效果进行了预测，增强了预测结果的可靠性。
In this paper bench tight blasting effects are predicted by genetic neural network, then the reliability of predicting effects is enhanced.
对具有强冲击危险工作面进行的研究表明，电磁辐射完全可以预测煤矿冲击矿压危险，检验卸压爆破效果，而且准确率高，效果明显。
According to the study of the working face with a strong probability of rock burst, the EME can be used to forecast the rock burst and to check the effect of unloading blasting in coal mine.
应用遗传神经网络模型对台阶压碴爆破效果进行了预测，增强了预测结果的可靠性。
Predicts bench tight blasting effects by genetic neural network, which can enhance the reliability of predicting effects. Genetic neural network is the model of human brain.
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