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Indexed by : Journal paper

Document Code : 20160401847361

First Author : 史天泽

Correspondence Author : Shuming Chen

Date of Publication : 2015-06-15

Journal : SAE International Journal of Passenger Cars - Mechanical Systems

Included Journals : EI  

Affiliation of Author(s) : jilin University

Place of Publication : United States

Funded by : Jilin University

Document Type : J

Volume : 8

Issue : 3

Page Number : 916-927

ISSN : 19463995

Teaching and Research Group : State Key Laboratory of Automotive Simulation and

Abstract : Artificial intelligence systems are highly accepted as a technology to offer an alternative way to tackle complex and non-linear problems. They can learn from data, and they are able to handle noisy and incomplete data. Once trained, they can perform prediction and generalization at high speed. The aim of the present study is to propose a novel approach utilizing the adaptive neuro-fuzzy inference system (ANFIS) and the fuzzy clustering method for automotive ride performance estimation. This study investigated the relationship between the automotive ride performance and relative parameters inc

Translation or Not : no