Search Results - "Natural gradient boosting algorithm"

A comparative study of machine learning models for construction costs prediction with natural gradient boosting algorithm and SHAP analysis by Das, Pobithra, Kashem, Abul, Hasan, Imrul, Islam, Mominul

“…The precise prediction of construction costs during the initial phase of a construction project is crucial for ensuring the project’s success. Identifying the…”
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Predicting existing tunnel deformation from adjacent foundation pit construction using hybrid machine learning by Wu, Xianguo, Feng, Zongbao, Liu, Jun, Chen, Hongyu, Liu, Yang

“…), a hybrid prediction framework based on random forest recursive feature elimination and the Bayesian optimization natural gradient boosting algorithm (RF-RFE-BO-NGBoost…”
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Uncertainty quantification for Bayesian active learning in rupture life prediction of ferritic steels by Mamun, Osman, Taufique, M. F. N., Wenzlick, Madison, Hawk, Jeffrey, Devanathan, Ram

“…Three probabilistic methodologies are developed for predicting the long-term creep rupture life of 9–12 wt%Cr ferritic-martensitic steels using their chemical…”
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Predicting the NOx emissions of low heat value gas rich-quench-lean combustor via three integrated learning algorithms with Bayesian optimization by Yan, Peiliang, Fan, Weijun, Zhang, Rongchun

“…With the increased attention to low heat value gas fuels in recent years, research on NOx emissions from the combustors of low heat value gas fuels is…”
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Trustworthy machine learning-enhanced 3D concrete printing: Predicting bond strength and designing reinforcement embedment length by Ma, Xin-Rui, Wang, Xian-Lin, Chen, Shi-Zhi

“…) structures using Natural Gradient Boosting algorithm. This developed model provides both scalar bond strength predictions and corresponding standard deviations, and in the test, it achieved a 94.5…”
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Probabilistic Shear Strength Prediction for Deep Beams Based on Bayesian-Optimized Data-Driven Approach by Liu, Mao-Yi, Li, Zheng, Zhang, Hang

“…To ensure the safety of buildings, accurate and robust prediction of a reinforced concrete deep beam’s shear capacity is necessary to avoid unpredictable…”
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Risk-Aware Optimal Dispatch of Resource Aggregators Integrating NGBoost-Based Probabilistic Renewable Forecasting and Bi-Level Building Flexibility Engagements by Tang, Hong, Chen, Zhe, Li, Hangxin, Wang, Shengwei

“… A natural gradient boosting algorithm (NGBoost), which requires no prior knowledge…”
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Probabilistic machine learning-based phytoplankton abundance using hyperspectral remote sensing by Kwon, Do Hyuck, Ahn, Jung Min, Pyo, Jong Cheol, Lee, Jiye, Abbas, Ather, Park, Sanghyun, Kim, Kyunghyun, Lee, Hyuk, Cho, Kyung Hwa

“…Remote sensing is a crucial tool for understanding the spatial dynamics of algal blooms by quantifying and detecting algal proliferation in water bodies…”
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NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values by Wu, Hongyi, Jin, Jinwen, Li, Zhiwei

“… (natural gradient boosting) algorithm. The study focused on predicting tensile strength, yield strength, and elongation of hot-rolled strip steel and compared the predictive results with those obtained from the gradient boosting algorithm…”
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Modelling V-Band Atmospheric Loss With Deep Learning by Gesner, Ralph Lyndon

“…Modelling atmospheric loss is fundamental to implementation of future mm-wave terrestrial and earth space communication links. Atmospheric losses have…”
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