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 including speed, spring stiffness, damper coefficients, ratios of sprung and unsprung mass. A Takagi-Sugeno fuzzy inference system associated with artificial neuro network was employed. The C-mean fuzzy clustering method was used for grouping the data and identifying membership functions. The prediction results were compared with simulation testing data and experimental data of a typical A-Class automobile.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Prediction of Automotive Ride Performance Using Adaptive Neuro-Fuzzy Inference System and Fuzzy Clustering


    Weitere Titelangaben:

    Sae International Journal of Passenger Cars. Mechanical Systems
    Sae Int. J. Passeng. Cars - Mech. Syst


    Beteiligte:
    Wang, Dengfeng (Autor:in) / Chen, Shuming (Autor:in) / Shi, Tianze (Autor:in)

    Kongress:

    SAE 2015 Noise and Vibration Conference and Exhibition ; 2015



    Erscheinungsdatum :

    2015-06-15


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Intelligent Parallel Parking Using Adaptive Neuro-Fuzzy Inference System Based on Fuzzy C-Means Clustering Algorithm

    Rezaei Nedamani, Hamidreza / Masnadi Khiabani, Parisa / Azadi, Shahram | SAE Technical Papers | 2018


    Application of Adaptive Neuro-fuzzy Inference System for road accident prediction

    Hosseinpour, Mehdi / Yahaya, Ahmad Shukri / Ghadiri, Seyed Mohammadreza et al. | Springer Verlag | 2013


    Application of Adaptive Neuro-fuzzy Inference System for road accident prediction

    Hosseinpour, Mehdi / Yahaya, Ahmad Shukri / Ghadiri, Seyed Mohammadreza et al. | Online Contents | 2013


    Adaptive Neuro-Fuzzy Model with Fuzzy Clustering for Nonlinear Prediction and Control

    Al-Himyari, Bayadir Abbas / Yasin, Azman / Gitano, Horizon | BASE | 2014

    Freier Zugriff