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+keyword:(extreme learning machine)

    Aerodynamic coefficients modeling using Levenberg–Marquardt algorithm and network

    Wang, Zhigang / Li, Aijun / Wang, Lihao et al. | Emerald Group Publishing | 2021
    . Neural network is trained by extreme learning machine, and the trained network can predict the aircraft response at (k + 1)th ...
    Schlagwörter: Extreme learning machine

    A Global Non-roundness Detection Algorithm for Urban Rail Vehicle Wheels

    Zhou, Zhihui / Liu, Xinhai / Zhou, Yuanyuan et al. | Springer Verlag | 2020
    Schlagwörter: Extreme learning machine

    Aircraft parameter estimation using ELM network

    Verma, Hari Om / Peyada, Naba Kumar | Emerald Group Publishing | 2020
    approximation using artificial neural networks. A novel single hidden layer feed-forward neural network (FFNN) known as extreme learning machine (ELM ...
    Schlagwörter: Extreme learning machine

    An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

    Ma, Zhengjing / Mei, Gang / Cuomo, Salvatore | Elsevier | 2021
    . A machine learning method is employed to analyze contributing factors ...
    Schlagwörter: Deep learning , Support Vector Machine , eXtreme Gradient Boosting

    An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

    Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023
    Schlagwörter: Extreme gradient boosting , Machine learning

    A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis

    Khan, Waqar Ahmed / Chung, Sai-Ho / Eltoukhy, Abdelrahman E.E. et al. | Elsevier | 2023
    successful air traffic management and control. We propose a novel parallel-series model and novel adaptive bidirectional extreme learning machine (AB ...
    Schlagwörter: Extreme learning machine , Imbalance learning

    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

    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

    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

    Effect of Construction Work Zone on Rear-End Conflicts by Vehicle Type under Heterogeneous Traffic Conditions

    Bidkar, Omkar / Arkatkar, Shriniwas / Joshi, Gaurang et al. | ASCE | 2023
    extracted using a newly developed machine learning–based semiautomated trajectory extractor tool. The derived trajectory data from both sections ...
    Schlagwörter: Generalized extreme value

    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

    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

    Gully erosion susceptibility mapping and prioritization of gully-dominant sub-watersheds using machine learning algorithms: Evidence from the Silabati River (tropical river, India)

    Hasanuzzaman, Md / Pratim Adhikary, Partha / Kumar Shit, Pravat | Elsevier | 2023
    threats to agriculture, human safety, habitats, infrastructure, and soil integrity. Selecting the right machine learning model is vital for ...
    Schlagwörter: Extreme Gradient Boost (XGBoost)

    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

    Improved adaptive control for wing rock via fuzzy neural network with randomly assigned fuzzy membership function parameters

    Rong, Hai-Jun / Han, Sai / Bai, Jian-Ming et al. | Elsevier | 2014
    the recently developed fuzzy-neural algorithm named online sequential fuzzy extreme learning machine (OS-Fuzzy-ELM) where the fuzzy membership ...
    Schlagwörter: Online sequential fuzzy 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

    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

    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

    Modeling irregular small bodies gravity field via extreme learning machines and Bayesian optimization

    Furfaro, Roberto / Barocco, Riccardo / Linares, Richard et al. | Elsevier | 2020
    predict the gravitational acceleration around irregular small bodies. More specifically, we employ Extreme Learning Machine (ELM) theories to ...
    Schlagwörter: 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