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第32届中国控制与决策会议

作者： GENG Kui ZHANG Xin XIE Zongren Academy of Military Science Center of Assessment and Demonstration Research

ISBN: (纸本)9781728158549

The joint campaign rehearsal system for combat research features the focus on the research and analysis of problems,rehearsal analysis in groups,high requirements for the operational efficiency of system,and numerous rehearsal *** rehearsal system under data rules differentiates from other rehearsal systems mainly in the modeling for data rules,including different force resolution levels,different ways of data generation for combat(battle) results,and different methods for construction of rule *** these features and differences,a general structure is designed for the rehearsal system in this *** briefly describing the functional design of subsystems and the design of application mode,it particularly elaborates rehearsal data and the general design of rehearsal rule models,and proposes an approach to the design of joint campaign rehearsal system for combat research.

关键词： rehearsal system rule models rehearsal data system structure

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Application of an expert system using neural network to control the coagulant dosing in water treatment plant

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控制理论与应用（英文版） 2004年第1期2卷 89-92页

作者： HangZHANG SchoolofInformationScienceandEngineering CentralSouthUniversityChangshaHunan410075China

The coagulation process is one of the most important stages in water treatment plant, which involves many complex physical and chemical phenomena. Moreover, coagulant dosing rate is non-linearly correlated to raw water characteristics such as turbidity, conductivity, PH, temperature, etc. As such, coagulation reaction is hard or even impossible to control satisfactorily by conventional methods. Based on neural network and rule models, an expert system for determining the optimum chemical dosage rate is developed and used in a water treatment work, and the results of actual runs show that in the condition of satisfying the demand of drinking water quality, the usage of coagulant is lowered.

关键词： Water treatment Process control Expert system Neural network rule models

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