DocumentCode :
2675981
Title :
Intelligent train dispatching for high-speed railway based on Fuzzy Neural Network
Author :
Sun, Jingdong ; Wang, Shunli
Author_Institution :
Dept. of Traffic & Transp., Southwest Jiaotong Univ., Chengdu, China
Volume :
4
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
222
Lastpage :
225
Abstract :
Through detailed analysis of train operation control procedure of high-speed railway, in view of the present condition of Fuzzy Neural Network (FNN) in train operation control, a new model of train operation adjustment on the FNN is developed, Five levels fuzzy neural network were built and its input and output were designed, the weighing and parameters were revised in order to get different membership function, then corresponding fuzzy rule and could execute fusion decision could be got in the new method. Furthermore, The simulation perception processing of train operation adjustment was completed using Matlab, the mean square error between actual output and experiments output was got The simulation results show that the validity of train operation control procedure of high-speed railway based on FNN.
Keywords :
fuzzy neural nets; knowledge based systems; mathematics computing; mean square error methods; railways; Matlab; fusion decision; fuzzy neural network; fuzzy rule; high-speed railway; intelligent train dispatching; mean square error; simulation perception processing; train operation adjustment; train operation control; Communication system traffic control; Dispatching; Electronic mail; Fuzzy control; Fuzzy neural networks; Intelligent networks; Intelligent transportation systems; Mathematical model; Rail transportation; Railway safety; dispatch; fuzzy neural network; high-speed railway; intelligent transportation; train operation adjustment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5486936
Filename :
5486936
Link To Document :
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