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- W2358463702 abstract "Traffic state is important background multi-elevator dispatching system research,generate traffic flow is formed by the flow of passengers,and the passenger elevator is transported object,namely transport system and transport related objects.Therefore,by analyzing the dynamic trend of forecasting traffic flow,the appropriate mode of transport can be determined,thus multi-elevator system can be optimized scheduling,so as to reduce passenger riding time,improve delivery efficiency elevator,reduce the number of start-stop system,elevators,reduce energy consumption.In this paper,multielevator scheduling algorithm is optimized by using fuzzy control theory to optimize.Fuzzy control is an important part of artificial intelligence,an intelligent computer control combined with expert control theory,control theory,fuzzy set theory and neural network control,fuzzy variables and fuzzy reasoning." @default.
- W2358463702 created "2016-06-24" @default.
- W2358463702 creator A5008462827 @default.
- W2358463702 date "2014-01-01" @default.
- W2358463702 modified "2023-09-25" @default.
- W2358463702 title "Multi Elevator Intelligent Scheduling Algorithm Based on Fuzzy Control" @default.
- W2358463702 hasPublicationYear "2014" @default.
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