Search Results - "Gaussian process regression algorithm"

JGPR: a computationally efficient multi-target Gaussian process regression algorithm by Nabati, Mohammad, Ghorashi, Seyed Ali, Shahbazian, Reza

“…Multi-target regression algorithms are designed to predict multiple outputs at the same time, and allow us to take all output variables into account during the…”
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Ultrasonic characterization of thermal barrier coatings porosity through BP neural network optimizing Gaussian process regression algorithm by Ma, Zhiyuan, Zhang, Wei, Luo, Zhongbing, Sun, Xu, Li, Zongyi, Lin, Li

“…•A BP neural network optimizing GPR algorithm is developed to detect the TBCs porosity based on URCAS.•Coatings pore morphology is built through Gaussian…”
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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Xue, Youtao, Yang, Yuxin, Yao, Shaobo, Zhao, Wenwen, Chen, Lihua

“…The current challenges encountered in Surrogate-Based Optimization (SBO) primarily stem from the substantial number of function calls essential for accurate…”
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Behavioral-level modelling of GaN HEMT large signal based on Pelican-Gaussian process regression algorithm by Cai, Haiyi, Zhang, Jincan, Wang, Shaowei, Liu, Min, Zhang, Juwei

“…). Hyperparameter optimization in traditional Gaussian process regression algorithms tends to fall into local optimums and is overly dependent on the initial values…”
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Ultrasonic prediction of thermal barrier coating porosity through multiscale-characteristic-based Gaussian process regression algorithm by Ma, Zhiyuan, Sun, Luoming, Chen, Yijia, Lin, Li

“…•A multiscale-characteristic-based Gaussian process regression algorithm is developed to detect the TBCs porosity based on URCAS…”
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Study of a hull form optimization system based on a Gaussian process regression algorithm and an adaptive sampling strategy, Part I: Single-objective optimization by Wang, Penghui, Feng, Yukun, Chen, Zuogang, Dai, Yi

“…Simulation-based design (SBD) is recognized as a hull form optimization method with great advantages, but its development process has exposed two obvious…”
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Prediction of power battery health state based on data-driven Gaussian process regression algorithm by Li, Wei, Cheng, Chen, Wang, Qian, Ma, Chang-song

“…As one of the key functions of the battery management system, the prediction of the state of health (SOH) of the power battery of new energy vehicles is…”
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Modeling of Cutting Force in the Turning of AISI 4340 Using Gaussian Process Regression Algorithm by Alajmi, Mahdi S., Almeshal, Abdullah M.

“…Machining process data can be utilized to predict cutting force and optimize process parameters. Cutting force is an essential parameter that has a significant…”
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Assessing the performance of the Gaussian Process Regression algorithm to fill gaps in the time-series of daily actual evapotranspiration of different crops in temperate and continental zones using ground and remotely sensed data by De Caro, Dario, Ippolito, Matteo, Cannarozzo, Marcella, Provenzano, Giuseppe, Ciraolo, Giuseppe

“…The knowledge of crop evapotranspiration is crucial for several hydrological processes, including those related to the management of agricultural water…”
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Prediction of soil hydraulic properties by Gaussian process regression algorithm in arid and semiarid zones in Iran by Rastgou, M., Bayat, H., Mansoorizadeh, M., Gregory, Andrew S.

“…•The GPR method had the better performance than MLR method in predicting the SWRC.•The GPR method is suitable for environmental problems that are…”
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Study of a hull form optimization system based on a Gaussian process regression algorithm and an adaptive sampling strategy, Part II: Multi-objective optimization by Wang, Penghui, Feng, Yukun, Chen, Zuogang, Dai, Yi

“…Ships have a wide variety of performance specifications and experience complex navigation conditions. Thus, an efficient numerical optimization system for…”
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Sensitive, calibration-free and multi-channel wavelength scanning spectroscopy based on free-running laser frequency comb with Gaussian process regression algorithm for gas sensing by Liu, Zhiwei, Guan, Gangyun, Chen, Hongda, Long, Junqiu, Wu, Xuyang, Yan, Guofeng, Zheng, Chuantao

“…; no need calibration.•Gaussian process regression algorithm for low signal-to-noise ratio conditions…”
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Optimisation design of the windshield for a 13,100-TEU container ship based on the Gaussian process regression algorithm by Wang, Guanxiang, Feng, Yukun, Dai, Yi, Chen, Zuogang, Wu, Yanfeng

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A Physics-Informed Gaussian Process Regression Algorithm for the Dynamics of the Planar Pendulum by Li, Tianzhi, Wang, Jinzhi

“…Gaussian process regression has received considerable attention due to its performance in solving the problem of learning and predicting the dynamics of…”
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Research on Spatial Prediction of Precipitation in Guangdong Province Based on Gaussian Process Regression Algorithm by ZENG Xiongzhi, YU Chao

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Predicting specific wear rate of laser powder bed fusion AlSi10Mg parts at elevated temperatures using machine learning regression algorithm: Unveiling of microstructural morphology analysis by Jatti, Vijaykumar S., Murali Krishnan, R., Saiyathibrahim, A., Preethi, V., Priyadharshini G, Suganya, Kumar, Abhinav, Sharma, Shubham, Islam, Saiful, Kozak, Dražan, Lozanovic, Jasmina

“…Precisely predicting the Specific Wear Rate (SWR) of AlSi10Mg components produced using Laser Powder Bed Fusion (LPBF) at high temperatures, which is an…”
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Gaussian process-based Bayesian non-linear filtering for online target tracking by Lu, Kelin, Sun, Changyin, Zhu, Qian

“… with a sparsification method, and the regular Gaussian process regression algorithm is extended to the online case where the learned surrogate model is able to be updated recursively…”
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Multiple output Gaussian process regression algorithm for multi-frequency scattered data interpolation by Weitong Ruan, Milstein, Adam B., Blackwell, William, Miller, Eric L.

“…In recent years, CubeSats have emerged as a platform of intense interest for a wide range of applications, including remote sensing. Of specific interest in…”
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Anomaly detection based on data stream monitoring and prediction with improved Gaussian process regression algorithm by Jingyue Pang, Datong Liu, Haitao Liao, Yu Peng, Xiyuan Peng

“…Condition monitoring has gradually become the necessary part of the diagnostics and prognostics for the complex systems. Especially, with the rapid development…”
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R-Learning and Gaussian Process Regression Algorithm for Cloud Job Access Control by Zhiping Peng, Delong Cui, Yuanjia Ma, Jianbin Xiong, Bo Xu, Weiwei Lin

“…Reinforcement learning is an area of machine learning inspired by behaviorist psychology, concerned with how software agents ought to take actions in an…”
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