Showing 41 - 60 results of 2,013 for search 'training algorithms', query time: 0.09s Refine Results
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    ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

    Published 2018-01-01
    “…With the rapid development of railway transportation in recent years, the demand of high efficiency and high density train operation is increasing. It is necessary to study more effective control algorithm in ATO system. …”
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    Article
  3. 43

    MPFM-VC: A Voice Conversion Algorithm Based on Multi-Dimensional Perception Flow Matching by Yanze Wang, Xuming Han, Shuai Lv, Ting Zhou, Yali Chu

    Published 2025-05-01
    “…In this study, we propose a voice conversion algorithm, Multi-Dimensional Perception Flow Matching (MPFM-VC). …”
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    Article
  4. 44

    Optimization of constant-speed control algorithm for high-speed EMUs by XIONG Yan, ZHOU Shangru, XU Qing, HUANG He

    Published 2024-09-01
    “…Additionally, in order to prevent abrupt changes in traction/braking force and rapid switching between traction and braking, additional control functions are incorporated in the PID regulation algorithm, focusing on train impact rates and traction/braking switching. …”
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    Article
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    APPLICATION OF THE ENTROPY-PROBABILISTIC MODEL OF THE X-RAY TELEVISION INTROSCOPE OPERATOR IN THE ALGORITHM OF THE COMPUTER SIMULATOR DURING TRAINING OF SECURITY SCREENING POINT EMPLOYEES by A. K. Volkov, V. V. Iudaev, A. V. Dormidontov

    Published 2016-11-01
    “…The article discusses the possibility of applying the entropy-probabilistic model of the operator x-ray television introscope in the algorithm of the computer simulator in order to increase the effectiveness of professional training of employees of the aviation security service employees. …”
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    Article
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    Predicting the availability of power line communication nodes using semi-supervised learning algorithms by Kareem Moussa, Khaled Mostafa Elsayed, M. Saeed Darweesh, Abdelmoniem Elbaz, Ahmed Soltan

    Published 2025-05-01
    “…Supervised Learning algorithms (Random Forest and logistic regression) have been trained on the dataset to compare the results. …”
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    Article
  11. 51

    Research on axle-box bearing fault feature extraction algorithm based on simulation test and BOA-VMD by ZHANG Dongxing, YANG Gang, ZHOU Ao, QIN Limu, WEI Yuqian, YAN Lei

    Published 2022-03-01
    “…Aiming at the problem that axle-box bearing faults are difficult to find during the operation of urban rail trains, a bearing fault feature extraction based on variational mode decomposition (VMD) parameter optimization using butterfly optimization algorithm (BOA) was proposed. …”
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    Research on Stability Optimization for Automatic Train Operation of Heavy-haul Trains of Baoshen Railway by FU Shangyuan

    Published 2024-04-01
    “…This algorithm features a multi-particle model and a train state evaluation model for heavy-haul trains, evaluating the development trend of train states while incorporating constraints related to the loading/unloading slope in levels. …”
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    Article
  18. 58

    Hermeneutic Approach as a Condition of Training Future Teachers of Vocational Training to Use Application Software by E. Y. Neupokoyeva

    Published 2017-08-01
    “…Means of creating conditions for training future teachers of vocational training to solve didactic problems linked with the use of a personal computer in the area of subject specialization is revealed. …”
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    Article
  19. 59

    Comparative analysis of object tracking algorithms by B. A. Zalesky, V. A. Ivanyukovich, K. V. Reer, D. A. Starikovich

    Published 2025-03-01
    “…To train the neural network part of the trackers, versions of the algorithms were written in the Python programming language, and to calculate and analyze characteristics in conditions close to real ones, in C++, which required converting the trained network using the TensorRT framework. …”
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    Article
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    On Training Of Feed Forward Neural Networks by Baghdad Science Journal

    Published 2007-03-01
    “…In this paper we describe several different training algorithms for feed forward neural networks(FFNN). …”
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    Article