Study On The Application Of Fuzzy Neural Networks For Train Operation Adjustment System

Train operation system is the most important part of the intelligent railway transportation system, which is the guarantee of the train safety and punctuality. Considering the real train operation situation of our country, this paper presents a kind of train operation adjustment system based on Fuzzy Neural Networks(FNN), which is a new intelligent technology combined Fuzzy Control with Neural Networks, considering they complement to each other in several facets: acknowledge accquring ability, uncertained environment describing ability, calculating and adapting ability.Based on the study of Fuzzy Neural Networks theoretic knowledge, build a train operation adjusting mathematic and FNN model, and by the Mamdani fuzzy control regulation, after primely build the fuzzy regulation base and make out the subjection function of input variate, map them to the Neural Networks(NN) and adjust the networks weight and threshold by the back propagation process of Back Propagation(BP) arithmeticAt the end of this paper, B/S architecture is introduced, and based on which designed the distributing engineering realization of the train operation adjustment system, meanwhile designed the database structure and the function module.