1) river water quality
河流水质
1.
Prediction of river water quality using the united gray neural network model;
河流水质预测的灰色神经网络联合模型
2.
Study on simulation and prediction of river water quality based on unascertained information;
基于未确知信息的河流水质模拟预测研究
3.
Relationships between river water quality and human activities in watershed;
河流水质与流域人类活动之间的关系
2) stream water quality model
河流水质模型
1.
From mathematical method of building model,the article concisely summarizes progress of research on stream water quality simulation,and evaluates existing problems of certainty model and development of stream water quality model.
文章从建立模型所采用的数学方法角度出发,较为详细的概述了近年来水质模拟的研究进展,并对确定性模型所存在的问题和河流水质模型的发展趋势做出评价。
2.
The parameter optimization estimation of the stream water quality model needs to solve constraining nonlinear programming, the genetic algorithm(GA) is an effective heuristic random search algorithm .
河流水质模型的参数最优化估值需要进行约束非线性规划的求解,遗传算法是一种高效的启发式随机搜索算法。
3.
This article concisely introduces development of stream water quality model and discusses several international-use synthetic water quality models in details.
本文对河流水质模型的发展进行了简要介绍,比较详细的评述了河流水质模型及几个国际通用的综合水质模型。
6) simulation of river water quality
河流水质模拟
1.
Discussion on simulation of river water quality;
河流水质模拟问题的探讨
补充资料：地下水水质测定(见水质测验)
地下水水质测定(见水质测验)
dixiashui shulzhi eeding地下水水质测定见水质测验。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条