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    Vehicle detection in driving simulation using extreme learning machine

    Zhu, Wentao / Miao, Jun / Hu, Jiangbi et al. | Tema Archiv | 2014
    simulation platform in a virtual scene. In this paper, as the first step of final solution, the Extreme Learning Machine (ELM) has been used to ...
    Schlagwörter: Support Vector Machine , extreme learning machine

    Modeling M(3000)F2 based on extreme learning machine

    Bai, Hongmei / Feng, Feng / Wang, Jian et al. | Elsevier | 2019
    Schlagwörter: Extreme learning machine

    Short-term prediction of airway congestion index using machine learning methods

    Yang, Zhao / Tang, Rong / Zeng, Weili et al. | Elsevier | 2021
    Schlagwörter: Extreme gradient boosting

    Identifying factors associated with roadside work zone collisions using machine learning techniques

    Nasrollahzadeh, Amir A. / Sofi, Ardalan R. / Ravani, Bahram | Elsevier | 2021
    Schlagwörter: Extreme gradient boosting

    Soft one-class extreme learning machine for turboshaft engine fault detection

    Zhao, Yong-Ping / Huang, Gong | SAGE Publications | 2022
    One-class extreme learning machine (OC-ELM) is a very common one-class classification algorithm. In the process of constructing the OC-ELM ...
    Schlagwörter: machine learning , one-class extreme learning machine

    Battery state of health estimation with improved generalization using parallel layer extreme learning machine

    Freier Zugriff
    Ezemobi E. / Tonoli A. / Silvagni M. | BASE | 2021
    vehicles. An approach for enhancing the generalization of SOH estimation using a parallel layer extreme learning machine (PL-ELM) algorithm is ...
    Schlagwörter: Parallel layer extreme learning machine

    Kernel-Extreme Learning Machine-Based Fault Location in Advanced Series-Compensated Transmission Line

    Tripathi, Pushkar | Online Contents | 2016
    difficult task. The kernel extreme learning machine-based method for fault location in series compensated line is proposed in this article. Results ...
    Schlagwörter: relevance vector machine , extreme learning machine , support vector machine , kernel extreme learning machine

    Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction

    Ban, Xiaojuan / Guo, Chong / Li, Guohui | Springer Verlag | 2016
    Neural Networks based algorithm called Extreme Learning Machine (ELM) (Huang and Siew in ICARCV, pp. 1029–1036, 2004, [4]) to design a real-time ...
    Schlagwörter: Extreme learning machine

    Extreme Learning Machine Based Control of Grid Side Inverter for Wind Turbines

    Freier Zugriff
    Fidan, Şehmus / Cebeci, Mehmet / Gündoğdu, Ahmet | BASE | 2019
    extreme learning machine based on single hidden layer feed forward artificial neural network is proposed to control the grid side converter. Since ...
    Schlagwörter: extreme learning machines

    Chinese vehicle license plate recognition using kernel‐based extreme learning machine with deep convolutional features

    Freier Zugriff
    Yang, Yun / Li, Donghai / Duan, Zongtao | Wiley | 2018
    be trained using gradient descent‐based methods, which often yields sub‐optimal results. Extreme learning machines (ELMs) demonstrate ...
    Schlagwörter: kernel‐based extreme learning machine , learning (artificial intelligence)

      Chinese vehicle license plate recognition using kernel-based extreme learning machine with deep convolutional features

      Freier Zugriff
      Yang, Yun / Li, Donghai / Duan, Zongtao | IET | 2017
      be trained using gradient descent-based methods, which often yields sub-optimal results. Extreme learning machines (ELMs) demonstrate ...
      Schlagwörter: learning (artificial intelligence) , kernel-based extreme learning machine

    Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines

    Li, Bing / Xue, Shao-Kai / Fu, Yu-Hui et al. | Elsevier | 2024
    the loss of some critical information. To tackle this issue, a novel weighted kernel adaption extreme learning machine is proposed for cross ...
    Schlagwörter: Transfer learning , Kernel extreme learning machine

    Extreme Learning Machine Based Adaptive Distance Relaying Scheme for Static Synchronous Series Compensator Based Transmission Lines

    Dubey, Rahul | Online Contents | 2016
    This article presents an extreme learning machine based fast and accurate adaptive distance relaying scheme for transmission lines in the ...
    Schlagwörter: extreme learning machine

    Vision‐based traffic accident detection using sparse spatio‐temporal features and weighted extreme learning machine

    Freier Zugriff
    Yu, Yuanlong / Xu, Miaoxing / Gu, Jason | Wiley | 2019
    extreme learning machine (W‐ELM) for detection. The ST‐IHT algorithm can improve the sparsity of encoded features by solving an norm ...
    Schlagwörter: weighted extreme learning machine , learning (artificial intelligence)

      Vision-based traffic accident detection using sparse spatio-temporal features and weighted extreme learning machine

      Freier Zugriff
      Yu, Yuanlong / Xu, Miaoxing / Gu, Jason | IET | 2019
      extreme learning machine (W-ELM) for detection. The ST-IHT algorithm can improve the sparsity of encoded features by solving an norm ...
      Schlagwörter: learning (artificial intelligence) , weighted extreme learning machine

    Trabecular Bone Segmentation Based On Segment Profile Characteristics Using Extreme Learning Machine On Dental Panoramic Radiographs

    Freier Zugriff
    Ekoputris, Rizqi Okta / Arifin, Agus Zainal / Wijaya, Arya Yudhi et al. | BASE | 2017
    pixels as training data to create Extreme Learning Machine model. The output of this classifier is the segmentation area of trabecular bone. On ...
    Schlagwörter: Extreme Learning Machine

    Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation

    Grigorev, Artur / Mihaita, Adriana-Simona / Lee, Seunghyeon et al. | Elsevier | 2022
    novel bi-level machine learning framework enhanced with outlier removal and intra–extra joint optimisation for predicting the incident duration ...
    Schlagwörter: Machine learning , Extreme-boosted decision-trees

    RFID Localization System Based on K-Nearest Neighbor Algorithm and Extreme Learning Machine Algorithm with Virtual Reference Tags

    Freier Zugriff
    Zhang, Changsheng / Li, Yaoxian | BASE | 2019
    ) and extreme learning machine (ELM) by using virtual reference tags. In this paper, LANDMARC location algorithm is used in regional location ...
    Schlagwörter: extreme learning machine

    An assessment of machine learning and data balancing techniques for evaluating downgrade truck crash severity prediction in Wyoming

    Freier Zugriff
    Vincent Michael Ampadu / Muhammad Tahmidul Haq / Khaled Ksaibati | DOAJ | 2022
    This study involved the investigation of various machine learning methods, including four classification tree-based ML models, namely the ...
    Schlagwörter: extreme gradient boosting tree

    Online Interval Type-2 Fuzzy Extreme Learning Machine Applied to 3D Path Following for Remotely Operated Underwater Vehicles

    Freier Zugriff
    Rubio-Solis, Adrian / Martinez Hernandez, Uriel / Nava-Balanzar, Luciano et al. | BASE | 2022
    location for collection by a vessel. In this paper, an Online Interval Type-2 Fuzzy Extreme Learning Machine (OIT2-FELM) is suggested to achieve a ...
    Schlagwörter: Extreme Learning Machine , Online interval type-2 fuzzy learning

    Condition assessment of high-speed railway track structure based on sparse Bayesian extreme learning machine and Bayesian hypothesis testing

    Wang, Senrong / Gao, Jingze / Lin, Chao et al. | Taylor & Francis Verlag | 2023
    probability prediction model of the structural static responses under temperature loads based on sparse Bayesian extreme learning machine (SBELM) is ...
    Schlagwörter: sparse bayesian learning , extreme learning machine

    Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine

    Baron, Carolina Maria Cardona / Zhang, Jie | Springer Verlag | 2019
    process using bootstrap aggregated extreme learning machine. In order to overcome the difficulty in developing detailed mechanistic models ...
    Schlagwörter: Extreme learning machine