Search Results - Automatic machinery learning algorithm based on genetic algorithms

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis by Peng, Bo, Wan, Shuting, Bi, Ying, Xue, Bing, Zhang, Mengjie

“… In this article, a novel diagnosis approach based on evolutionary learning, namely, automatic feature extraction and construction using genetic programming (AFECGP…”
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Lightweight CNN Architecture Design Based on Spatial-Temporal Tensor and Its Application in Bearing Fault Diagnosis by Wang, Zan, Lu, Hui, Shi, Yuhui, Wang, Xianpeng

“… First, a novel representation learning method (RLM) based on spatial-temporal tensors (STTs…”
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Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation by Cabrera, Diego, Sancho, Fernando, Li, Chuan, Cerrada, Mariela, Sánchez, René-Vinicio, Pacheco, Fannia, de Oliveira, José Valente

“…[Display omitted] •An automatic feature extraction method is proposed.•Manual feature extraction procedures can be replaced with deep learning approach…”
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Robots and Autonomous Machines for Agriculture Production

“… in agriculture, based on precise and resource-efficient approaches to sustainably achieve greater efficiency…”
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Railway Axle Early Fatigue Crack Detection through Condition Monitoring Techniques by Gomez, María Jesús, Castejon, Cristina, Corral, Eduardo, Cocconcelli, Marco

“…, based on crack detection by means of the automatic selection of patterns from the vibration signal measurement…”
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Computer-Aided Manufacturing and Design

“…) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields…”
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Novel green-fruit detection algorithm based on D2D framework by Wei, Jinmeng, Ding, Yanhui, Liu, Jie, Zakir Ullah, Muhammad, Yin, Xiang, Jia, Weikuan

“…In the complex orchard environment, the efficient and accurate detection of object fruit is the basie requirement to realize the orchard yield measurement and automatic harvesting…”
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Detection of wheat seedling lines in the complex environment via deep learning by Lin, Haibo, Lu, Yuandong, Ding, Rongcheng, Xiu, Yufeng, Yang, Fazhan

“… Aiming at the complex wheat field environment, a method of detecting wheat seedling lines based on deep learning was proposed in this study…”
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A pillar-based microfluidic chip for T-cells and B-cells isolation and detection with machine learning algorithm by Bilal Turan, Taisuke Masuda, Lei Wu, Anas Mohd Noor, Koji Horio, Toshiki Saito, Yasuyuki Miyata, Fumihito Arai

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A comparison of two learning mechanisms for the automatic design of fuzzy diagnosis systems for rotating machinery by Salido, Jesús Manuel Fernández, Murakami, Shuta

“…: knowledge-based networks (KBN) and genetic algorithms (GA). An application of both techniques is evaluated on the same case study, giving special emphasis to their performance in terms of classification success and computation time…”
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The responsibility gap: Ascribing responsibility for the actions of learning automata by Matthias, Andreas

“… Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable…”
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Monitoring the maturation of the sarcomere network: a super-resolution microscopy-based approach by Skorska, Anna, Johann, Lisa, Chabanovska, Oleksandra, Vasudevan, Praveen, Kussauer, Sophie, Hillemanns, Maximilian, Wolfien, Markus, Jonitz-Heincke, Anika, Wolkenhauer, Olaf, Bader, Rainer, Lang, Hermann, David, Robert, Lemcke, Heiko

“… To precisely monitor the maturation of the contractile machinery, we have established an imaging-based strategy that allows quantitative evaluation of important parameters, defining the quality of the sarcomere…”
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Research on Intelligent Shift Control Strategy of The Loader Based on Radial Basis Function Neural Network by Wu, Guanghua, Ma, Wenxing, You, Lipeng

“… This paper presents an RBF neural network intelligent shift control strategy method based on improved genetic algorithm…”
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Application and Research of Computer Intelligent Technology in Modern Agricultural Machinery Equipment by Zhou, Hongyu, Liu, Jinqi, Huang, Fan

“…Every country, including China, is deeply concerned and interested in the topic of agricultural machinery automation…”
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Identification of plankton habitats in the North Sea by Plonus, Rene‐Marcel, Floeter, Jens

“…‐based clustering algorithm to high‐frequency datasets sampled with a ROTV Triaxus in the North Sea…”
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Rice nitrogen nutrition monitoring classification method based on the convolution neural network model: Direct detection of rice nitrogen nutritional status by Zhai, Qiang, Ye, Chun, Li, Shuang, Liu, Jizhong, Guo, Zhiming, Chang, Ruzhi, Hua, Jing

“… However, this method is labor- and time-consuming. To realize automatic rice nitrogen nutrition monitoring, we constructed the Jiangxi rice nitrogen nutrition monitoring model based on a convolution neural network (CNN…”
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Enhanced YOLOv8-based pavement crack detection: A high-precision approach by Zhang, ZuXuan, Zhang, HongLi, Zhang, TongJia

“… Crack detection is the key to realize the mechanical and intelligent crack repair. To solve these problems, an improved automatic recognition algorithm based on YOLOv8 model, YOLOV8-DGS is proposed in this study…”
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Parameter selection algorithm with self adaptive growing neural network classifier for diagnosis issues by Barakat, M., Lefebvre, D., Khalil, M., Druaux, F., Mustapha, O.

“… An advanced parameter selection criterion is embedded in SAGNN algorithm based on the computed performance rate of training samples. This approach (1…”
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Research on Improved Active Disturbance Rejection Control of PMSM Based on a Novel Parameter Tuning Algorithm by Liu, Anming, Yang, Kai, Jiang, Feng, Xu, Yunliu, Xu, Changle

“…) with genetic algorithm (GA) as automatic parameter tuning mechanism. This improved ADRC controller increases the current response by compensating the time delay of the feedback path…”
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Track-Assignment Detailed Routing Using Attention-based Policy Model With Supervision by Liao, Haiguang, Dong, Qingyi, Qi, Weiyi, Fallon, Elias, Kara, Levent Burak

“… Our approach adopts an attention-based reinforcement learning (RL) policy model. Our main insight and advancement over this RL model is the use of supervision as a way to leverage solutions generated by a conventional genetic algorithm (GA…”
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