Abstract Automatic identification of the brand of the car is difficult to accomplish because the different brands have a lot of similarities. In this work, we developed a new system of Volkswagen vehicle identification. Firstly, the original car images were preprocessed by the watershed algorithm and manual revision. Secondly, we employed the wavelet entropy (WE) to extract efficient features from the car images. Thirdly, we used multilayer perceptron (MLP) as a classifier. At last, we chose the artificial bee colony (ABC) algorithm to train the MLP. The original ABC is good at exploration but poor at exploitation because of its equation system. So, we proposed a new model of the ABC called improved artificial bee colony (IABC) to balance exploration and exploitation. We used the 5 × 5-fold cross-validation for fair comparison. The experiment result showed that the overall specificity is 88.62%, the overall sensitivity is 89.16%, and the overall accuracy is 89.17%. Therefore, the proposed method is effective for Volkswagen vehicle identification. The result of the IABC provides better performance than ordinary ABC.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Volkswagen Vehicle Identification via Multilayer Perceptron Trained by Improved Artificial Bee Colony Algorithm


    Contributors:


    Publication date :

    2019-10-02


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Modular, Multilayer Perceptron

    Cheng, Li-Jen / Liu, Tsuen-Hsi | NTRS | 1991


    An improved artificial bee colony algorithm for solving parameter identification problems

    You, Xuemei / Ma, Yinghong / Liu, Zhiyuan | British Library Online Contents | 2017


    Improved multi-strategy artificial bee colony algorithm

    Lv, Li / Wu, Lieyang / Zhao, Jia et al. | British Library Online Contents | 2016


    Research on Sound Source Localization Algorithm Based on Multilayer Perceptron

    Zhang, Jinliang / Weng, Xianfeng / Zhou, Jing et al. | Springer Verlag | 2021


    Research on Sound Source Localization Algorithm Based on Multilayer Perceptron

    Zhang, Jinliang / Weng, Xianfeng / Zhou, Jing et al. | TIBKAT | 2021