One being developed vehicle adjustable suspension system, need to predict pavement condition then automatically adjust each suspension height, in order to ensure control accuracy and ride comfort. This paper proposed a method using BP neural network to predict the vehicle height sensor data of each wheel suspension. The experimental results show that, the proposed algorithm is practical and reliable, and good outcome have been achieved in the application of instruction carriage.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    The Vehicle Adjustable Suspension System Based on Data Mining



    Published in:

    Publication date :

    2013-09-10


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Adjustable vehicle suspension system

    GRAUS JONATHON P / KROSSCHELL BRIAN D | European Patent Office | 2022

    Free access

    ADJUSTABLE VEHICLE SUSPENSION SYSTEM

    OAKDEN-GRAUS JONATHON P / KROSSCHELL BRIAN D | European Patent Office | 2018

    Free access

    Adjustable vehicle suspension system

    OAKDEN-GRAUS JONATHON P / KROSSCHELL BRIAN D | European Patent Office | 2019

    Free access

    ADJUSTABLE VEHICLE SUSPENSION SYSTEM

    GRAUS JONATHON P / KROSSCHELL BRIAN D | European Patent Office | 2023

    Free access

    ADJUSTABLE VEHICLE SUSPENSION SYSTEM

    OAKDEN-GRAUS JONATHON P / KROSSCHELL BRIAN D | European Patent Office | 2018

    Free access