| 1. | To reduce the computational load , these multiple linear models are then used as prediction equations in an mpc framework
为求减轻计算负荷，在模式预测控制架构中，上述之多重模式即可作为预测方程式来计算程序未来的输出值。 |
| 2. | Standard specification for developing and validating prediction equation or model used in connection with livestock , meat , and poultry evaluation device or system to determine value
开发和验证与牲畜肉类和家禽的测定值的评估系统和设备有关的预测方程或模型的标准规范 |
| 3. | Contrast experiment shows that multi - time factors can improve the quality of prediction equations and make effective rate reach 90 . 0 percents and reduce sum of residual squares 23 . 8 percents meanly
对比试验表明，多时刻因子可改善大多数预报方程的质量，有效率达90 . 0 % ；多时刻因子使预报误差明显减小，预报方程的残差平方和平均减少23 . 8 % 。 |
| 4. | According to the feature of oils , the evaporation of crude oils is not controlled by the boundary layer and the prediction equation based on the water evaporation equation is not correct theoretically
结合原油组分特点，认为过去将原油蒸发当边界层控制来处理，以及以纯水蒸发速率方程为基础通过修正而建立起的原油蒸发速率方程是缺乏理论根据的。 |
| 5. | The plan of prediction and analysis has been worked out based on the electromagnetic interference and prediction equation and the multilevel prediction principle after analyzing the interference features and structure of the radio system
在分析了局部区域中的无线电系统间相互干扰的特点及目前存在的无线电系统体系结构的基础上,根据电磁干扰预测方程和多级预测原理,确定了预测分析方案。 |
| 6. | Thought the pan evaporation , it has been found that the evaporation of shengli crude oil is controlled by the first step and the effect of wind velocity is small . the prediction equation is dw / dt ^ k d ? 2 a ju , y hct / t , which is related with the liquid characters and states ( e . g . thickness , area , viscosity ) and is independent of wind speed
2 、实验结果表明，胜利原油蒸发由第一步即蒸发由液体内部易挥发组分向液体表面的迁移来控制，因此风速影响很小，建立速率方程时不必考虑风速，只需考虑液体本身的性质和状态(如厚度、表面积、粘度等) ，速率方程可写为： dw dt = kd4 ? ’ a严t 。 |
| 7. | The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models , the results show : the backpropagation ( bp ) , radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings , independent sample test , actual prediction ability
( 3 )运用线性回归预报方程和三种人工神经网络模型对福建汛期旱涝进行预测的实验表明： bp 、径向基( rbf )和elman这三种人工神经网络模型在历史样本拟合精度上、独立样本检验结果和网络模型的实际预测能力上都明显优于传统的线性回归方法。 |
