An adaptive neuro-fuzzy inference system for engineering-vehicle shift decisions

摘要

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 gear-box 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.