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The study of fuzzy neural networks in train section following space interval model under MAS

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3 Author(s)
Hai-wang Yi ; Beijing Jiaotong Univ., China ; Hua-shen Wang ; Xia Li

Train tracing space interval model system is the base of train dynamic run space control system. Owing to the uncertainly factors in the train run process, the math model based on draught account is difficult to satisfy the need of the practical system. Combining the characteristics of train dynamic run in MAS, this paper proposes a new train section tracing space interval model-based on neural networks and fuzzy control, whose name is the multi-input fuzzy neural network model. At last the paper point out its practical meaning and also proves the designed system's practicability by the simulation.

Published in:

Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on  (Volume:2 )

Date of Conference:

8-12 Aug. 2005