Suchergebnisse - adaptive Gaussian process regression algorithm

A Personalized Dose‐Finding Algorithm Based on Adaptive Gaussian Process Regression von Park, Yeonhee, Chang, Won

“… To address this, we propose a personalized dose‐finding algorithm that assigns patients to individualized optimal biological doses …”
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Operational optimization of copper flotation process based on the weighted Gaussian process regression and index-oriented adaptive differential evolution algorithm von Wang, Zhiqiang, He, Dakuo, Nie, Haotian

“… Based on the analysis results of BN, a weighted Gaussian process regression model is constructed to predict the CCG that a higher …”
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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 von Wang, Penghui, Feng, Yukun, Chen, Zuogang, Dai, Yi

“… To mitigate these deficiencies, this paper first proposes a UQ method for the surrogate model based on a Gaussian process regression (GPR) algorithm …”
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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 von Wang, Penghui, Feng, Yukun, Chen, Zuogang, Dai, Yi

“… Based on a Gaussian process regression (GPR) algorithm and an adaptive sampling strategy, the authors have developed a single-objective optimization system, SBO-MSE …”
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Health prognostics of lithium-ion batteries based on universal voltage range features mining and adaptive multi-Gaussian process regression with Harris Hawks optimization algorithm von Guo, Yongfang, Yu, Xiangyuan, Wang, Yashuang, Huang, Kai

“… •An adaptive multi-Gaussian process regression with the Harris Hawks Optimization algorithm is proposed …”
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Self-adaptive data-driven evolutionary algorithm based on random forest feature selection and incremental Gaussian process regression on personalized antidepressant medication research von Zhao, Ruxin, Zhang, Hongtan, Liu, Chang, Xie, Yulin, Cao, Yue, Shi, Yang

“… We proposed a self-adaptive data-driven evolutionary algorithm based on random forest feature selection and incremental Gaussian process regression (SADDEA-RFFS-IGPR …”
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Adaptive Gaussian Process Regression Based Remaining Useful Life Prediction of PEMFC Incorporating An Improved Health Indicator von Tang, Lin, Yang, Xu, Gao, JingJing, Huang, Jian, Cui, JiaRui

“… On this basis, a data-driven method, namely the adaptive Gaussian process regression(GPR) method, is proposed to predict the RUL of PEMFC …”
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Approximate high mode coupling potentials using Gaussian process regression and adaptive density guided sampling von Schmitz, Gunnar, Artiukhin, Denis G, Christiansen, Ove

“… guided approach with Gaussian process regression for constructing approximate higher-order mode potentials …”
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A Gaussian Process Regression-based robust solution for the narrow-band vibration noise with low-cost UAV von Tian, Junxi, Yang, Ming, Zhou, Zebo, Chao, Tao

“… ) and the dominant frequency of the vibration noise is established using Gaussian Process Regression (GPR …”
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Gaussian processes retrieval of leaf parameters from a multi-species reflectance, absorbance and fluorescence dataset von Van Wittenberghe, Shari, Verrelst, Jochem, Rivera, Juan Pablo, Alonso, Luis, Moreno, José, Samson, Roeland

“… Parameter retrieval was conducted with the machine learning regression algorithm Gaussian …”
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Comparison of hybrid machine learning methods for the prediction of short-term meteorological droughts of Sakarya Meteorological Station in Turkey von Citakoglu, Hatice, Coşkun, Ömer

“… (ANNs), adaptive neuro-fuzzy inference system (ANFIS), Gaussian process regression (GPR), support vector machine regression …”
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Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study von Verrelst, Jochem, van der Tol, Christiaan, Magnani, Federico, Sabater, Neus, Rivera, Juan Pablo, Mohammed, Gina, Moreno, Jose

“… ) for various canopy configurations. Regression analysis between SIF retrievals and NPC values produced the following general findings: (1 …”
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Pixel-level parameter optimization of a terrestrial biosphere model for improving estimation of carbon fluxes with an efficient model–data fusion method and satellite-derived LAI and GPP data von Ma, Rui, Xiao, Jingfeng, Liang, Shunlin, Ma, Han, He, Tao, Guo, Da, Liu, Xiaobang, Lu, Haibo

“… Inaccurate parameter estimation is a significant source of uncertainty in complex terrestrial biosphere models. Model parameters may have large spatial …”
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Development of Predictive QSAR Models of 4‐Thiazolidinones Antitrypanosomal Activity Using Modern Machine Learning Algorithms von Kryshchyshyn, Anna, Devinyak, Oleg, Kaminskyy, Danylo, Grellier, Philippe, Lesyk, Roman

“… The performance of four machine learning algorithms: Random Forest regression, Stochastic gradient boosting, Multivariate adaptive regression splines and Gaussian processes regression have been studied in order to reach better levels of predictivity …”
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Active learning for prediction of tensile properties for material extrusion additive manufacturing von Nasrin, Tahamina, Pourali, Masoumeh, Pourkamali-Anaraki, Farhad, Peterson, Amy M.

“… An adaptive data generation technique, specifically an active learning process based on the Gaussian process regression algorithm, was employed to enable prediction with limited training data …”
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Nonparametric modeling of ship maneuvering motion based on Gaussian process regression optimized by genetic algorithm von Ouyang, Zi-Lu, Zou, Zao-Jian

“… A novel method, Gaussian process regression optimized by genetic algorithm (GA-GPR), is proposed for nonparametric modeling of ship maneuvering motion …”
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ARS-Flow 2.0: An enhanced design space exploration flow for accelerator-rich system based on active learning von Huang, Shuaibo, Ye, Yuyang, Yan, Hao, Shi, Longxing

“… This method features particle-swarm-optimized Gaussian process regression modeling (PSOGPR), a multiobjective genetic algorithm with self-adaptive hyperparameter control (SAMOGA …”
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Hyperspectral Prediction Model of Nitrogen Content in Citrus Leaves Based on the CEEMDAN–SR Algorithm von Gao, Changlun, Tang, Ting, Wu, Weibin, Zhang, Fangren, Luo, Yuanqiang, Wu, Weihao, Yao, Beihuo, Li, Jiehao

“… preprocessing algorithm, complete ensemble empirical mode decomposition with adaptive noise joint sparse representation (CEEMDAN–SR …”
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Ship heading and trajectory control method based on L1-GPR von Shijie LI, Jiawei HE, Jialun LIU, Taixu LIU, Chengqi XU

“… MethodsBased on an L1 adaptive control algorithm and Gaussian process regression (GPR) model, an L1 adaptive controller combined with a GPR model controller …”
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Fault detection for Li-ion batteries of electric vehicles with segmented regression method von Bin Kaleem, Muaaz, Zhou, Yun, Jiang, Fu, Liu, Zhijun, Li, Heng

“… Current regression methods for battery fault detection often analyze charging and discharging as a single continuous process, missing important phase differences …”
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