It built the regressive model between the rate of urea hydrolysis and the four factors.
建立了尿素水解速率与四因素的回归模型。
Experimental study on ship motion prediction using auto regressive model was carried out.
利用自回归模型对船舶运动进行了预报试验研究。
Meiyu predication experiment using the threshold auto-regressive model, advanced genetic algorithm, and related techniques was carried out in Taizhou.
针对梅雨量的分布特性，提出应用门限自回归模型建立一套简便实用的梅雨量丰枯预测方案。
Based on multi variable auto-regressive model, a long-run equilibrium model is correspondingly constructed which lies a foundation for further economic analysis.
基于多变量自回归模型，我们构建了相应的长期均衡关系模型，从而为进一步经济分析奠定了基础。
The Hedonic price model (HPM), which is based on the relationship between the housing characters and housing price characters, sets up the regressive model of housing price.
特征价格模型(HPM)以住宅特征与住宅价格之间关系为基础，建立住宅价格的回归模型。
The regressive model proves to be reliable to a great extent in experiments.
该数模经实验验证其可靠性较好。
Simulation results showed that the ANN model gave better predictions than the regressive model. The average relative error of ANN was 14.9% and that of linear regression was 25.8%.
模拟的结果显示ANN模型比线性回归模型有更好的预测能力，预测的平均相对误差：ANN模型为14.9%，线性回归模型为25.8%。
Based on the theory and method of mixed regressive model, the statistical correlative forecasting model of the DongShan's water level is got, it is the key level of controlling flood.
基于混合回归模型理论和方法建立了流域防洪重点控制站东山站水位统计相关预报模型。
In the gyro Parameters Deciding System, this algorithm mainly was used to determine the gyro scale factors and the drift coefficient sizes through the calculations with regressive model.
此算法主要是在陀螺定参系统中，通过回归建模计算来确定陀螺刻度因数以及各漂移系数的大小。
Nonparametric regressive model has gained much attention recently, primarily due to the fact that they can describe some nonlinear features exhibited by many datas itself in applications.
非参数回归模型因其能够描述许多数据自身所体现的非线性特征而受到人们的广泛关注。
Nonparametric regressive model has gained much attention recently, primarily due to the fact that they can describe some nonlinear features exhibited by many datas itself in applications.
非参数回归模型因其能够描述许多数据自身所体现的非线性特征而受到人们的广泛关注。
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