NDLI: The Application of the Fuzzy Neural Network Control in Elevator Intelligent Scheduling Simulation

Content Provider	IEEE Xplore Digital Library
Author	Yine Zhang Yun Yi Jian Zhong
Copyright Year	2010
Abstract	Because of the diversity of target about the elevator group control system and inherent randomness and non-linear of the elevator system, so it is very difficult to improve the performance of the elevator control system through the traditional control methods .In the elevator group control system it is feasible that the system coordinate the operation of multiple elevators by use of the fuzzy BP neural network and the optimized control strategy, which can increase the transport efficiency and service quality. This paper has set up the gauss member function of customer's waiting elevator satisfactory and customer's riding elevator satisfactory andcustomer's energy compulsions satisfactory, construct the model of the fuzzy BP neural network through the intelligent scheduling characteristics of the elevator. The different weights have been given through the different patterns of the running elevator and the simulations of the elevator intelligent dispatching has been achieved.
Starting Page	512
Ending Page	516
File Size	301729
Page Count	5
File Format	PDF
ISBN	9781612844282
ISSN	21601291
DOI	10.1109/ISISE.2010.129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Java the fuzzy BP neural network Artificial neural networks Control systems Downlink Elevators Mathematical model weights elevator group control system Floors
Content Type	Text
Resource Type	Article

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