Training hybrid neural networks with multimode optical nonlinearities using digital twins by Oguz Ilker, Suter Louis J.E., Hsieh Jih-Liang, Yildirim Mustafa, Dinc Niyazi Ulas, Moser Christophe, Psaltis Demetri

“…The training algorithm updates the neural simulator and backpropagates the error signal over this proxy to optimize layers preceding the optical one. …”
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A Real-time Speed Profile Planning Algorithm for Freight Trains Based on Neural Network by ZHU Yuqing, BAI Baoxue, CHEN Honghui, CHEN Nankuang, WANG Qingyuan

“…In order to reduce driver’s operation difficulty and improve transportation efficiency, this paper proposed a real-time speed profile planning algorithm based on neural network to guide the freight train driver’s operation. …”
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A New Speed Measurement System and Its Algorithm for Medium and Low Speed Maglev Train by ZHANG Zhengfang, JIANG Jie, GAN Weiwei, LU Xueyun, ZHAO Xufeng

Subjects: “…maglev train…”
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

“…Results from simulations conducted in environments set up using Matlab showed that in the task training of train operation on long steep downhill with randomly generated entry speeds, cumulative rewards gradually converged over training runs, which verified the convergence and generalization of the proposed algorithm. …”
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ALGORITHMIC SUPPORT OF ASSESSMENT OF THE PREPARED CIVIL AVIATION PILOTS FOR PERFORMING PROFESSIONAL FUNCTIONS by P. M. Polyakov, M. V. Karmyzov, S. V. Monakhova

Subjects: “…pilot training…”
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Mixed-Embeddings and Deep Learning Ensemble for DGA Classification With Limited Training Data by Christian Morbidoni, Alessandro Cucchiarelli, Luca Spalazzi

Subjects: “…Domain generation algorithms (DGA)…”
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A Modularized Super Capactior Energy Storage System forMetro Train and Its Control Algorithm by CHEN Guangzan, LIU Lan, HUANG Deliang, YI Yunlan

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Enhanced security for IoT cloud environments using EfficientNet and enhanced football team training algorithm by Jian Cui, Lan Shi, Ahmed Alkhayyat

“…This paper introduces an innovative approach to intrusion detection that integrates EfficientNet with a newly refined metaheuristic known as the Enhanced Football Team Training Algorithm (EFTTA). The proposed EfficientNet/EFTTA model aims to identify anomalies and intrusions in IoT-cloud environments with enhanced accuracy and efficiency. …”
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Retracted: Application of Discriminative Training Algorithm Based on the Improved Gaussian Mixture Model in English Translation Evaluation by International Transactions on Electrical Energy Systems

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Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm by Amit Sagu, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, Piyush Kumar Shukla, Mohd Asif Shah

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Generalized Dai-Yuan conjugate gradient algorithm for training multi-layer feed-forward neural networks by Hind H. Mohammed

“… In this paper, we will present different type of CG algorithms depending on Peary conjugacy condition. The new conjugate gradient training (GDY) algorithm using to train MFNNs and prove it's descent property and global convergence for it and then we tested the behavior of this algorithm in the training of artificial neural networks and compared it with known algorithms in this field through two types of issues. …”
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Device Specifications for Neural Network Training with Analog Resistive Cross‐Point Arrays Using Tiki‐Taka Algorithms by Jinho Byun, Seungkun Kim, Doyoon Kim, Jimin Lee, Wonjae Ji, Seyoung Kim

“…Recently, specialized training algorithms for analog cross‐point array‐based neural network accelerators have been introduced to counteract device non‐idealities such as update asymmetry and cycle‐to‐cycle variation, achieving software‐level performance in neural network training. …”
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Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm by HE Deqiang, SUN Yi, MENG Jiwei, LIU Jianren

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Critical dimensions in strengthening education and instructor training using fuzzy based decision algorithm and CRITIC WASPAS method by Hui Zhou, RenGuo Yang

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Sentinel-2 Masking CNNs Trained on Physics-Supervised Labels by Efrain Padilla-Zepeda, Kevin Alonso, Raquel De Los Reyes, Deni Torres-Roman, Avi Putri Pertiwi, Tobias Storch

“…The model is trained using a large global training dataset from PACO, while a separate validation dataset from the same source is used to monitor performance during learning and prevent overfitting. …”
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Use of MARS Data Mining Algorithm Based on Training and Test Sets in Determining Carcass Weight of Cattle in Different Breeds by Demet Çanga

“…According to the analysis results, the MARS model with the smallest SDRATIO (0.157, 0.130) and the highest determination coefficient (R2) (0.975, 0.983) of the training and test sets, respectively, was determined. …”
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A highly generalized federated learning algorithm for brain tumor segmentation by Jun Wen, Xiusheng Li, Xin Ye, Xiaoli Li, Hang Mao

“…Empirical experiments validate the proposed algorithm, showing a 2.2% improvement in the Dice Similarity Coefficient (DSC) for brain tumor segmentation over the baseline federated learning algorithm, with a marginal 3% reduction in performance compared to centralized training, highlighting its practical applicability.…”
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Design on VSPR Control Algorithm of WT2500 Wind Turbine by ZHAI Dayong, YE Wei

“…It firstly analyzed the affects of the main vibration modes for each part of wind turbine, including rotor, drive train and tower, and designed the control algorithms in accordance with CSR WT2500 wind turbine. …”
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A Novel Denoise Method of Acoustic Signal from Train Bearings Based on Resampling Technique and Improved Crazy Climber Algorithm by Yali Sun, Hua Li, Xing Zhao, Jiyou Fei, Xiaodong Liu, Yijie Niu

“…In this way, the important information from the train bearings could be divided from the heavy noise and other signals. …”
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State-of-the-Art Document Image Binarization Using a Decision Tree Ensemble Trained on Classic Local Binarization Algorithms and Image Statistics by Nicolae Tarbă, Costin-Anton Boiangiu, Mihai-Lucian Voncilă

“…This study introduces a local thresholding method that uses the results of several local thresholding algorithms and other image statistics to train a decision tree ensemble. …”
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