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在分析某核电站一期地面爆破振动监测结果的基础上，用神经网络理论建立了爆破振动加速度峰值的预报模型，提出了神经网络模型预报加速度峰值的方法。将神经网络模型预报的结果与传统方法（经验公式法）预报的结果相比，前者的预报结果有明显的改善。
Based on the analysis of blasting vibration monitoring results of the first phase of a nuclear power plant, a prediction model of blasting vibration acceleration peak is established by neural network theory and a method of neural network model for forecasting acceleration peak is proposed. Compared with the result predicted by the traditional method (empirical formula method), the prediction result of the former has obvious improvement.