An adaptive neuro-fuzzy inference system for engineering-vehicle shift decisions
by Wang Zhuo, Zhao Dingxuan
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 9, No. 4, 2002

Abstract: To improve the intelligence of engineering vehicle shift decisions, a kind of adaptive neuro-fuzzy inference system (ANFIS) is proposed. A test simulation based on the data that are obtained from a shift experiment on a ZL50E loader transmission system, is also developed. The simulation results show that this shift-decision system can make correct gearbox shift decisions according to the operational situation. This system is an effective method for making shift decisions. It overcomes the shortcoming of fuzzy inference, which doesn't have a learning function, and the weakness of neural networks which cannot express fuzzy language.

Online publication date: Tue, 01-Jul-2003

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