Showing 1 - 20 results of 9,071 for search 'algorithmic training', query time: 0.14s Refine Results
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    Improvement of Train Brake Control Dynamic-pneumatic BlendingAlgorithm Based on Train Network by QIAN Hua, YU Jie-ren, TAN Shou-yun

    Published 2014-01-01
    “…Aimed at the problems of conventional dynamic-pneumatic blending algorithm in brake force increasing , brake level varyingand electric turning to pneumatic brake stage, a new dynamic-pneumatic blending algorithm based on train network was provided without anadditional delay ,redundant pneumatic brake and excess jerk limit, which improved dynamic-pneumatic blending control performance greatly.…”
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    The Train Delay Model Developed by the Genetic Programming Algorithm by Tomas Brandejsky

    Published 2022-01-01
    “…The paper discusses the problem of probability distribution category identification of train delay data by a genetic programming algorithm. …”
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    Stability of Back Propagation Training Algorithm for Neural Networks by Baghdad Science Journal

    Published 2012-12-01
    Subjects: “…" BP training algorithm , Ann , Gradient Descent Training Algorithm , Gradient Descent with Momentum and Lyapunov Stability ."…”
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    Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm by Alireza Shahbazian, Hamidreza Rabiefar, Babak Aminnejad

    Published 2021-01-01
    “…Since, according to No Free Lunch theorem, the performance of optimization algorithms is problem-dependent, this paper aims to assess the feasibility of modeling the shear strength of RC beams using ANNs trained with the Tabu Search Training (TST) algorithm. …”
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    Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning. by Yunhu Huang, Wenzhu Lai, Dewang Chen, Geng Lin, Jiateng Yin

    Published 2025-01-01
    “…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”
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    A Reliable Application of MPC for Securing the Tri-Training Algorithm by Hendra Kurniawan, Masahiro Mambo

    Published 2023-01-01
    “…In this paper we propose a Privacy-preserving Distributed Data Mining (PPDDM) method by designing a reliable application of secure MPC to semi-supervised tri-training algorithms. We simulate the original tri-training algorithm and tri-training algorithm with secure MPC using a different types of classifiers and datasets. …”
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    COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization by Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qi, Jack Xin, Xin Li, Penghang Yin

    Published 2025-01-01
    “…Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. …”
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    A Firefly Algorithm and Elite Ant System-Trained Elman Neural Network for MPPT Algorithm of PV Array by Yan Zhang, Ya-jun Wang, Han Li, Jia-Bao Chang, Jia-qi Yu

    Published 2022-01-01
    “…This article proposes a novel MPPT algorithm based on the firefly algorithm and elite ant system-trained Elman neural network (FA-EAS-ElmanNN). …”
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    ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

    Published 2017-01-01
    “…The algorithm of preparation and sampling for training of the multiclass qualifier of support vector machines (SVM) is provided. …”
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    Analysis of Algorithms for AI Virtual Player in the Production Management Training Platform by Gąbka Joanna, Przybyś Krzysztof

    Published 2025-03-01
    “…The article presents research focused on design, testing and evaluation of the Artificial Intelligence (AI) algorithms dedicated for Virtual Player (VP/bot) embedded in the Production Management Training Platform (TP). …”
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    Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

    Published 2025-12-01
    “…Given this, this study optimizes the training process of athletes' motion control based on spatiotemporal graph convolutional networks and dynamic time-warping algorithms. …”
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    Conjugate Gradient Algorithm Based on Aitken's Process for Training Neural Networks by Khalil Abbo, Hind Mohammed

    Published 2014-07-01
    “…In particular, various algorithms motivated from numerical optimization theory have been applied for accelerating neural network training. …”
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