为精确地描述与模拟水库建成后长江干流的水质变化趋势，建立了二维随机水质模型。
The stochastic model is thus needed. To precisely describe and simulate the trend of w…
在此基础上，用绘制目标函数响应面的方法，分析水质监测数据中的随机噪声对水质模型参数最优估值的影响。
Based on these data the random errors' effects on the optimized parameters in the water quality model were analysed with response surfaces for objective function.
运用随机微分方程理论，推导了一个水质模型，提出了河流水质管理的随机规划方法。
This paper deduces a water quality model by using the theory of random differential equations, and proposes a stochastic method for water quality management at a river.
为了克服随机噪声对河流水质模型参数估计的干扰，提出了一种水质模型参数的鲁棒估计方法，即基于M -估计的信赖域算法。
In order to overcome the disturbance of noises, a robust identification method of water quality model parameters namely trust region algorithm based on M-estimation is proposed.
本文以河流CBOD-NBOD-DO水质方程为例，推导出计算河流水质的随机分析新模型。
The CBOD-NBOD-DO equations for river water quality modelling are studied to develop stochastic analysis model for predicting the river water quality.
本文以河流CBOD-NBOD-DO水质方程为例，推导出计算河流水质的随机分析新模型。
The CBOD-NBOD-DO equations for river water quality modelling are studied to develop stochastic analysis model for predicting the river water quality.
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