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Application of elevator group control system based on genetic algorithm optimize BP fuzzy neural network

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4 Author(s)
Yanqiu Wang ; Liao Ning Univ. of Technol., Jinzhou ; Jian Zhang ; Yueling Zhao ; Yu Wang

Its deficiency was revealed because of traffic pattern identification method of elevator group control system based on using BP neural network, and a new traffic patten identification model is proposed which is based on optimizing fuzzy neural network by genetic algorithm. The genetic algorithm is used to train fuzzy BP neural network, which can overcome the shortcoming of local minimum appeared while training the network, and the veracity of the whole traffic pattern identification model can be increased. At last, the sampled data are trained and tested Matlab software, and the simulation results indicate that the proposed identify model has very small error.

Published in:

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference:

25-27 June 2008