1)membrane flux prediction膜通量预测
英文短句/例句
1.Study on the Application of BP Artificial Neural Network for Ultrafiltration Membrane Flux Prediction;BP神经网络在超滤膜通量预测中的应用研究
2.Flux prediction of micro-filtration devices based on genetic neural network基于遗传神经网络的微滤膜通量的预测
3.Study on Membrane Flux Prediction and Optimization of Operating Conditions in Dead-End Microfiltration;死端微滤过程运行条件的优化及膜通量的预测研究
4.New Combined Forecasting Model Applied in Air Traffic Flow Forecast新型组合预测模型在空中交通流量预测的应用
5.The Forecast Analysis of Changchun-Jilin Highway Traffic Volume;长春—吉林高速公路交通量预测分析
6.A Study on the Traffic Volume Forecasting Methods of Reconstruction and Extension Freeway;改扩建高速公路交通量预测方法研究
7.Yuxi Ship-lock Throughput Prediction and Analysis of Influencing Factors;裕溪船闸通过量预测及影响因素分析
8.Short-term Traffic Flow Forecasting Based on Nonparametric Regression;基于非参数回归的短时交通流量预测
9.Traffic Volume Forecast Based on Improved Cell Transmission Model基于改进型CTM模型的道路交通量预测
10.Prediction method research of highway construction project traffic volume公路建设项目交通量的预测方法研究
11.Design of the ARMA Traffic Flow Forecasting Controller基于ARMA交通流量预测控制器的设计
12.Chaotic Analysis and Prediction for Traffic Flow交通流量的混沌特性分析及预测研究
13.Grey Markov Forecasting for Real Time Traffic Volume实时交通量的灰色马尔柯夫预测方法
14.The Application of RBF Network in Prediction of Library Loan QuantityRBF网络在图书馆流通量预测中的应用
15.The Calculate of Comprehensive Transportation Logistics Quantity Need and Strategy Research综合交通物流量需求预测和策略研究
16.Traffic Flow Difference Value Forecast Model Based on ELMAN Network基于ELMAN网络的交通流量差值预测模型
17.Research of ARIMA Forecasting Technology for Traffic Volume Time Series交通量时间序列ARIMA预测技术研究
18.Study on the Theories and Applications of the "Ejection Method" Measuring the Membrane Structure's Pretension“弹射法”测量膜结构预张力的理论及应用研究
相关短句/例句
traffic prediction交通量预测
1.According to the dispersion of the traffic development around the world,this paper introduced a new Traffic Prediction Vector Space Theory through the studying of various traffic prediction models.根据世界各地交通发展分散性很大的实际状况,通过对多种预测模型的研究,提出了交通量预测的向量空间理论。
3)traffic volume forecasting交通量预测
1.However,traditional traffic volume forecasting of highway always focuses on the characteristics of highway transportation system itself,and neglects the relationship between highway and other transportation modes.而传统公路项目交通量预测往往从公路交通系统自身的角度出发,割裂了公路交通与其他运输方式之间的复杂关系,因而影响了预测结果的可靠性。
2.Traditional traffic volume forecasting method of highway construction project always focuses on the characteristics of highway transportation system itself,and neglects the relationship between highway and other transportation modes.传统公路建设项目交通量预测方法往往从公路交通系统自身的角度出发,割裂了公路交通与其他运输方式之间的复杂关系,因而影响了预测结果的可靠性。
3.The key issue for using the elastic method in the traffic volume forecasting is the determination elasticity coefficient.运用弹性系数法进行交通量预测的关键在于确定弹性系数。
4)traffic volume prediction交通量预测
1.Application of grey-markov model in traffic volume prediction;灰色马尔柯夫模型在交通量预测中的应用
2.By improving and systematizing the passage traffic volume prediction method,the components of the perspective traffic volume is proposed from the view of overall prediction ideas.通过对通道交通量预测方法的完善和系统化,从整体预测思路的角度出发,提出远景交通量的组成,并分析各组成部分的产生机理,给出简便可行的计算方法,有助于正确预测通道交通量。
3.The traffic volume prediction is one of the important compositions of feasibility research and post-valued of highway construction projects.交通量预测是高速公路建设项目可行性研究和后评价的重要组成部分，它是进行交通量现状评价、综合分析建设项目的必要性和可行性的基础，是确定高速公路建设项目的技术等级、工程规模、经济评价控制的主要依据。
5)traffic forecast交通量预测
1.Application of the manual BP neural network in the traffic forecast;人工BP神经网络在交通量预测中的应用
2.It is very important of share ratio of freeway and other parallel highway in the same transportation corridor for the traffic forecast.在公路可行性研究或项目评估时,同一通道内高速公路与平行辅路交通量分担比例在交通量预测中非常重要,以交通运输的基本机理和追求的目标为分析的出发点,系统的分析了交通运输行为主体和公路属性的各方面对该比例的影响,包括地区的经济水平、不同车型的差异性、高速公路与平行辅路的里程差、等级和路况的对比、通道的交通饱和程度、收费水平等因素,这些因素的分析对实践中该比例的确定具有较强的指导意义。
3.This paper first analyzes the character and parameter demarcating of Logistic Curve and Picketage Model s S Curve, then puts forward a traffic forecasting method based on this two curve models.在此基础上提出将这两种曲线模型结合起来的交通量预测模型,并应用于规划公路网路段的交通量预测,取得了较好的预测结果。
6)traffic volume forecast交通量预测
1.How to consider the influences of overload management in road traffic volume forecast;道路交通量预测中如何考虑治超的影响
2.The enquiry of "coefficient of correction" in traffic volume forecast;在交通量预测中构造“修正系数”的探讨
3.Application of support vector machines in traffic volume forecast;支持向量机在交通量预测中的应用
延伸阅读
经验指数预测法(见发生量预测)经验指数预测法(见发生量预测) 经验指数预测法见发生量预测。
