The Xiaowan underground powerhouse surrounding rock blasting particle vibration prediction model was established on the basis of the site blasting shock test and measurement.
根据现场爆破震动测试成果，建立了小湾地下厂房围岩爆破质点振动的预测模型。
Physical prediction model is difficult to establish for noise and vibration in building construction due to unknown factors encountered in the actual propagation process.
建筑打桩施工的噪声和振动，由于在实际传播过程中的未知因素很多，难以建立较高精度的物理预测模型。
Besides, a basis formula of vibration velocity prediction model that is suitable for multi-row millisecond blasting was proposed.
此外，文中提出了一个适用于多排孔延时爆破振动速度预测模型的依据公式。
Based on analysis of the characteristics of equipment operation, and according to the vibration intensity, a grey prediction model is established by use of grey system theory.
分析了设备运行状态的特征，运用灰色系统理论对设备状态特征量——振动烈度，建立了灰色预测模型。
By analyzing asset price vibration rate following limited Markov chain, prediction model of future time vibration rate and related pricing method of stock option are made.
本文通过对服从有限马尔可夫链的标的资产价格波动率进行分析，得出了在未来时刻波动的预测模型，并给出了相应的期权定价方法。
The prediction accuracy of FDA model is acceptable, so it is a new approach to predict destructive effect of masonry structure under blasting vibration, which can be applied to practical engineering.
FDA模型的预测准确率是可以接受的，所以这是一个新的方法来预测下砌体结构的破坏作用，可应用于实际工程的爆破振动。
Vibration amplitude of steam turbine is affected by operation parameters and random factors, the paper Contributes a Prediction method using multifactor model of recurrent combined BP networks.
针对汽轮发电机组振动振幅受运行参数及随机因素影响的特点，提出了用人工神经网络中的递推合成BP网络对汽轮机的振动故障进行多因素预测。
Vibration amplitude of steam turbine is affected by operation parameters and random factors, the paper Contributes a Prediction method using multifactor model of recurrent combined BP networks.
针对汽轮发电机组振动振幅受运行参数及随机因素影响的特点，提出了用人工神经网络中的递推合成BP网络对汽轮机的振动故障进行多因素预测。
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