产量预测 in a sentence

• Prediction of municipal solid waste output in beijing
  北京市城市生活垃圾产量预测
• Applications of time series smoothing method in the prediction of product output
  时间序列平滑法在产品产量预测中的应用
• Application of combination forecasting method in grain production forecast
  组合模型分析方法在我国粮食产量预测中的应用
• The forecast of grain production is an important resource for establishing agriculture policy
  摘要粮食产量预测是制定农业政策的重要依据。
• Maximum yield predicted the potential for moving toward mey and made us not be going into it blindly
  最高产量预测产量潜力，使我们在从事最大经济产量实践中不再盲目。
• The result is given that the forecasting model is effective and offers a new method to forecast the grain production
  预测结果表明该模型具有较高的预测精度，为粮食产量预测提供了一条新的途径。
• The production forecast model and the ipr curve equation for the producing well in permeability variation formation is established , and it is very useful to guide the gas field producing
  结合地层流体渗流机理，引入渗透率变异方程建立了适合于储层特征的渗透率变异产量预测模型，求得ipr生产曲线。
• Virtual plant model has an important significance in forecast of crop yield , evaluation of soil productivity , analysis of resource direction of crop planting , study of crop growth mechanism and crop reaction to environment
  摘要虚拟植物生长技术对作物产量预测、土地生产力评价、资源环境分析、作物栽培指导、作物生长机理研究以及调控作物生长发育及其对环境的反应研究都有著十分重要的意义。
• The comparison with minhas model , which fits well the experiment data , indicated that the spring wheat ' s sensibility to water expressed by these two models is identical and their results of yield prediction agree with each other for same water application
  通过与当地条件下拟合效果较好的minhas模型比较，该模型所预测的产量随备生育阶段水分的变化规律与mi讪as模型敏感指标所反映的敏感程度变化规律相一致，且两者产量预测值接近。
• Whatfihnore , the author presents a new before - disaster output predicting model according to the water balance equation and artificial neural network , a before - disaster and a behind - disaster loss evaluating model according to the output reduction extent of predicting output and real output
  同时，笔者利用水量平衡方程和人工神经网络建立了新的灾前产量预测模型，并依据预测产量和实际产量的减产幅度，分别建立了旱灾灾前评估和旱灾灾后评估模型。
• State parameters module includes prediction models for several production targets such as synthesized permeability , yields of agglomerate , sulfur content and plumbum content in agglomerate . the sintering state is judged and evaluated by the prediction results
  状态参数分析模块包括了几个关键生产指标的预测模型，包括透气性预测模型、烧结块产量预测模型、烧结块含铅量预测模型和烧结块含硫量预测模型，并根据其中的产量质量预测结果判断当前的综合工况。
• Based on study of previous models for production rate prediction , this paper presents a newly established differential equation of accuniulated production increase rate , and works out the practicable equation used for prediction of oilfield annual production sum , accumulated production and recoverable reserve
  在研究以往产量预测模型的基础上,提出了一种新的油气田累积产量增长率微分方程,并由该方程得到了预测油气田年产量、累积产量和可采储量的具体方程。
• The model of variability of submergence depth is established based on the law of volume balance , and the changing trends of parameters like submergence depth etc are analyzed . according to the principle of supply and discharge balance , the method to predict oil yield is presented . subject to different objective functions , the corresponding optimum combinations of suction parameters are analyzed , and the importance of choosing objective function to optimum combination of suction parameters is emphasized
  本文研究了油井流入动态关系，根据井筒内液量平衡原理，建立了沉没度变化的数学模型，分析了沉没度等参数变化规律；根据油井供、排平衡原则，得出了抽油泵排量系数相对稳定状态下产量预测的关系；分析了不同目标函数下，油井抽汲参数的组合效果，指出了目标函数选取对参数合理组合的重要性。
• As a new distributed computing mode , mobile agent technology brings a new energy for designing , realizing and maintaining distributed system . mobile agent sets its code to remote resources ’ location , alternates directly and finish computing . it decreases effectively network load ondistributed computing , enhances communication efficiency , is capable of compute on different platforms , supports comput off - line , supports remote alternation in real time and indpendent asynchronous alternation , adopts network environment dynamicly and provides individual services
  采用移动agent技术,大大减少了在网络中流通的数据量,实现了具有高智能、高效率的分布式农业智能决策系统。并为移动agent技术的应用提供了一个新的研究领域。 2 .开发与实现了粮食作物产量预测模型。
• Adopted three layers of c / s and b / s mixed mode , utilized chinese windows2000 operating system platform and delphi 6 in the system , oil recovery engineering management information system based on internet / intranet multi _ tier distributed mode was designed and developed . the system was implement the control of pump state and sucker rod fractures information management and issue > report outputs system maintenances the output predicted to recover the oil and so on . . in addition , the project built can be optimized by analytic and terminal users can also know the latest and future dynamic of production . at present , this system already in daqing recover the oil 8 factorie test and run
  系统中采用了三层的c s和b / s混合模式，利用中文windows2000操作系统平台和delphi6 . 0等工具设计并开发了基于internet intranet的采油工程管理信息系统。该系统可实现泵况控制、抽油杆断脱控制、信息管理、发布、报表输出、系统维护、采油产量预测等功能，并且可以依据分析结果优化施工方案，能够让各个终端用户了解最新和未来的生产动态。目前，此系统已经在大庆采油八厂测试运行。
• It utilized the quantity theory and the regression analytical method , took example for modifying and simulating corn growth model , which is one of original model of crops yield of heilongjiang province . according to yield predict and error analysis for model , it verified the model had applicable value
  利用数量化理论和回归分析方法，以原黑龙江省大区域作物产量模型之一?玉米生长模型为例，进行了玉米产量模型的修正和拟合，通过对该模型的产量预测和误差分析，证明该模型具有实际应用价值。
• Intelligent decision support system , combined by artificial intelligent and decision support system , is a assistant support system using logical reasoning to solve complicated decision making problem and applying expert system technology to make decision support system applys fully knowledge of humanbeing , which is processing knowledge in decision making process and reasoning knowledge in solving problems . agricultual decision support system is based on agricultural information system , crop simulate system and agricultural expert system . the paper is agricultural decision system based on expert system , which is called agricultural intelligent decision system . the aim is to make area division on food crop comprehensively and dynamicly , and to release the result on internet , which provides decision foundation for leaders , agricultural technics and farmers to adjust planting structure , increases income and to solve “ three agrulture ” problem
  本文在研究作物生产条件与产量的关系的基础上,经过三个层次的推理有机组合提取了预测知识模型。在产量预测实现过程中应用移动agent技术,将大量的计算推理在数据端处理,提高了预测的效率。 3 .应用webgis 、移动agent技术、 arcims 、 servlet / jsp 、动态web等技术,提出了地理信息发布的技术方案,实现了分布式地理信息在分布、异构、动态环境下的实时高效的的透明访问,进一步增强了农业智能决策系统的功能。
• On the basis of completing the research of the theoretic of agricultural production macro decision support system , the writer carries through the demonstration analysis research for chuangye farm , who has established the data houseware of agricultural production in chuangye farm , and has completed the the grain yield forecast , agricultural products " price index forecast , disaster changing forecast , industrial production structure assessment by using data mining system , the simulation of livestock ' s population change , analysis of input and output , and the establishment of model of industrial structure optimization . it settles the base for full information support to agricultural production macro decision of chuangye farm
  在完成农业生产宏观决策支持系统理论研究的基础上，作者以创业农场为研究对象进行了实证分析研究，建立了创业农场农业生产的数据仓库系统，并应用数据开采系统完成了粮食产量预测、农产品价格预测、灾害变化预测等工作，应用模型管理系统完成了牲畜种群变化的模拟和投入产出分析，并建立了宏观生产结构优化模型，为创业农场农业生产宏观决策提供全方位的信息支持奠定了基础。
• In the oil - field development production performance analysis and the production management , the technical personnel often does not satisfy an independent table information to the information demand , needs to inquire many correlations information , in the possible situation by the table , the curve or the chart form presents 。 for a this basis dynamic personnel demand development set of oil - field developments assistance dynamic analysis system , including nine big modules : the information intelligence inquiry module , the information statistics module , the dynamic contrast module , the dynamic analysis module , the oil water well chooses the value module , the rate of prediction module , the cartography module , the measure plan administration module , the economic evaluation module , to carry on the rate of prediction module
  在油田开发生产动态分析和生产管理中,技术人员对信息的需求往往不满足一个单独的表信息,需要查询许多相关的信息,在可能的情况下以表、曲线或图的形式呈现。为此根据动态人员需求的开发了一套油田开发辅助动态分析系统,包括九大模块:信息智能查询模块、信息统计模块、动态对比模块、动态分析模块、油水井选值模块、产量预测模块、绘图模块、措施方案管理模块、经济评价模块、进行产量预测模块。

• 产量预测 in English：production forecast
• 产量预测 in French：prévision de rendement