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    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

    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 | 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

      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)

    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

      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)

    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

    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

    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

    Short‐term traffic flow prediction of road network based on deep learning

    Freier Zugriff
    Han, Lei / Huang, Yi‐Shao | Wiley | 2020
    term on prediction accuracy is removed. Finally, by combining a deep belief network model and a kernel extreme learning machine classifier as ...
    Schlagwörter: deep learning , learning (artificial intelligence) , kernel extreme learning machine classifier

      Short-term traffic flow prediction of road network based on deep learning

      Freier Zugriff
      Han, Lei / Huang, Yi-Shao | IET | 2020
      term on prediction accuracy is removed. Finally, by combining a deep belief network model and a kernel extreme learning machine classifier as ...
      Schlagwörter: learning (artificial intelligence) , deep learning , kernel extreme learning machine classifier

    Inverse Kinematics Solution for Robot Manipulator based on Neural Network under Joint Subspace

    Freier Zugriff
    Feng, Yin / Yao-nan, Wang / Yi-min, Yang | BASE | 2014
    algorithm called extreme learning machine (ELM) which randomly choose the input weights and analytically determines the output weights of the single ...
    Schlagwörter: extreme learning machine

    ELM-ANFIS Based Controller for Plug-In Electric Vehicle to Grid Integration

    Freier Zugriff
    Kandasamy, Kalaiselvi / Perumal, Renuga / Velu, Suresh Kumar | BASE | 2018
    An Adaptive Neuro Fuzzy Inference System (ANFIS) based Extreme Learning Machine (ELM) theory is utilised in this research work. In ...
    Schlagwörter: extreme learning machine

    The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time via Pattern Recognition

    Freier Zugriff
    M.S., Marhaini / Ameedeen, Mohamed Ariff | BASE | 2016
    classification technique to calculate food calorie intake in real-time. Enhancement on Extreme Learning Machine (ELM) algorithm will be done to get ...
    Schlagwörter: Extreme Learning Machine (ELM)

    Predicting vacant parking space availability: an SVR method with fruit fly optimisation

    Freier Zugriff
    Fan, Junkai / Hu, Qian / Tang, Zhenzhou | Wiley | 2018
    (NN), extreme learning machine and wavelet NN, are used as the comparison models. The experimental results show that the proposed FOA‐SVR ...
    Schlagwörter: extreme learning machine , learning (artificial intelligence)

      Predicting vacant parking space availability: an SVR method with fruit fly optimisation

      Freier Zugriff
      Fan, Junkai / Hu, Qian / Tang, Zhenzhou | IET | 2018
      (NN), extreme learning machine and wavelet NN, are used as the comparison models. The experimental results show that the proposed FOA-SVR ...
      Schlagwörter: learning (artificial intelligence) , extreme learning machine