PROBABILISTIC

作品数:551被引量:834H指数:12
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相关领域:自动化与计算机技术更多>>
相关作者:邓建明邢汉承倪庆剑高嫦娥朱劲松更多>>
相关机构:清华大学东南大学中国科学院数学与系统科学研究院苏州大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家教育部博士点基金更多>>
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Retraction:Comparison of Structural Probabilistic and Non-Probabilistic Reliability Computational Methods under Big Data Condition
《Structural Durability & Health Monitoring》2025年第3期771-771,共1页Yongfeng Fang Kong Fah Tee 
The published article titled“Comparison of Structural Probabilistic and Non-Probabilistic Reliability Computational Methods under Big Data Condition”[1]has been retracted from Structural Durability&Health Monitoring...
关键词:Vol.1 PROBABILISTIC RELIABILITY 
In-Memory Probabilistic Computing Using Gate-Tunable Layer Pseudospins in van der Waals Heterostructures
《Chinese Physics Letters》2025年第4期9-22,共14页Jiao Xie Jun-Lin Xiong Bin Cheng Shi-Jun Liang Feng Miao 
supported by the National Natural Science Foundation of China(Grant Nos.12322407,62122036,and 62034004);the Natural Science Foundation of Jiangsu Province(Grant No.BK20233001);the National Key R&D Program of China(Grant Nos.2023YFF0718400 and 2023YFF1203600);the Leading-edge Technology Program of Jiangsu Natural Science Foundation(Grant No.BK20232004);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB44000000);Innovation Program for Quantum Science and Technology;support from the Fundamental Research Funds for the Central Universities(Grant Nos.020414380227,020414380240,and 020414380242);the e-Science Center of Collaborative Innovation Center of Advanced Microstructures。
Layer pseudospins,exhibiting quantum coherence and precise multistate controllability,present significant potential for the advancement of future computing technologies.In this work,we propose an in-memory probabilist...
关键词:layer pseudospinsexhibiting layered materialsby real spins probabilistic computing advancement future computing technologiesin electrical manipulation layer pseudospins memory computing gate tunable layer pseudospins 
Probabilistic Assessment of Constitutive Model Parameters:Insight from a Statistical Damage Constitutive Model and a Simple Critical State Hypoplastic Model
《Journal of Earth Science》2025年第2期685-699,共15页Yang Xue Fasheng Miao Yiping Wu Linwei Li Daniel Dias Yang Tang 
supported by the Opening Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education(No.GLAB 2024ZR03);the National Natural Science Foundation of China(No.42407248);the Guizhou Provincial Basic Research Program(Natural Science)(No.QKHJC-[2023]-YB066);the Key Laboratory of Smart Earth(No.KF2023YB04-02);the Fundamental Research Funds for the Central Universities。
The constitutive model is essential for predicting the deformation and stability of rocksoil mass.The estimation of constitutive model parameters is a necessary and important task for the reliable characterization of ...
关键词:probabilistic back analysis Bayesian approach model parameter estimation constitutive model landslide stability engineering geology 
Superior probabilistic computing using operationally stable probabilistic-bit constructed by a manganite nanowire
《National Science Review》2025年第3期109-117,共9页Yadi Wang Bin Chen Wenping Gao Biying Ye Chang Niu Wenbin Wang Yinyan Zhu Weichao Yu Hangwen Guo Jian Shen 
supported by the National Key Research Program of China(2022YFA1403300 and 2020YFA0309100);the Innovation Program for Quantum Science and Technology(2024ZD0300103);the National Natural Science Foundation of China(12074071,12074073 and 12204107);Shanghai Municipal Science and Technology Major Project(2019SHZDZX01);Shanghai Municipal Natural Science Foundation(22ZR1408100 and 23ZR1407200);Shanghai Science and Technology Committee(21JC1406200).
Probabilistic computing has emerged as a viable approach to treat optimization problems.To achieve superior computing performance,the key aspect during computation is massive sampling and tuning on the probability sta...
关键词:probabilistic computing manganite nanowire operational stability electronic domain dynamics 
An improved EDAS method based on the cosine measure under the nested probabilistic linguistic environment
《Journal of Control and Decision》2025年第1期65-80,共16页Lan Li Xinxin Wang Zeshui Xu 
supported by the National Natural Science Foundation of China under grant numbers 72101168,71571123;China Postdoctoral Science Foundation under grant number 2021M692259.
New opportunities and challenges for information representation and processing are brought about by the rapid development of artificial intelligence.This study offers a new decision-making method that decreases inform...
关键词:Multidimensional decision-making nested probabilistic linguistic term set cosine measure EDAS weight determination 
Probabilistic Site Investigation Optimization of Gassy Soils Based on Conditional Random Field and Monte Carlo Simulation
《World Journal of Engineering and Technology》2025年第1期1-11,共11页Shaolin Ding 
Gassy soils are distributed in relatively shallow layers the Quaternary deposit in Hangzhou Bay area. The shallow gassy soils significantly affect the construction of underground projects. Proper characterization of s...
关键词:Gassy Soils Site Investigation UNCERTAINTY Conditional Random Field Monte Carlo Simulation 
Two-Stage Scheduling Model for Flexible Resources in Active Distribution Networks Based on Probabilistic Risk Perception
《Energy Engineering》2025年第2期681-707,共27页Yukai Li Ruixue Zhang Yongfeng Ni Hongkai Qiu Yuning Zhang Chunming Liu 
supported by Key Technology Research and Application of Online Control Simulation and Intelligent Decision Making for Active Distribution Network(5108-202218280A-2-377-XG).
Aiming at the problems of increasing uncertainty of low-carbon generation energy in active distribution network(ADN)and the difficulty of security assessment of distribution network,this paper proposes a two-phase sch...
关键词:Core operation boundary probabilistic power flow risk perception optimize scheduling flexible resource 
Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning
《Advances in Atmospheric Sciences》2025年第2期297-312,共16页Nina HORAT Sina KLERINGS Sebastian LERCH 
the Young Investigator Group“Artificial Intelligence for Probabilistic Weather Forecasting”funded by the Vector Stiftung;funding from the Federal Ministry of Education and Research(BMBF)and the Baden-Württemberg Ministry of Science as part of the Excellence Strategy of the German Federal and State Governments。
Weather forecasts from numerical weather prediction models play a central role in solar energy forecasting,where a cascade of physics-based models is used in a model chain approach to convert forecasts of solar irradi...
关键词:solar forecasting POST-PROCESSING probabilistic forecasting machine learning model chain 
Emission characteristics and probabilistic health risk of volatile organic compounds from leather sofa
《Journal of Environmental Sciences》2025年第2期79-87,共9页Chuanhui Mu Yuling Tang Zhaohui Yang Jianfei Zhou Bi Shi 
supported by the National Key Research and Development Program of China (No.2019YFC1904501).
Furniture is identified as a vital volatile organic compound(VOC)emission source in the indoor environment.Leather has become the most common raw and auxiliary fabric material for upholstered furniture,particularly wi...
关键词:Indoor environment LEATHER Volatile organic compounds(VOCs) Health risk assessment 
Energy field intensity approach for probabilistic notch fatigue assessment under size effect
《Chinese Journal of Aeronautics》2025年第2期111-127,共17页Ding LIAO Shunpeng ZHU Jiewei GAO Xuekang LI JoséCORREIA Rui CALÇADA Qingyuan WANG 
support from the Key Program of the National Natural Science Foundation of China(No.12232004);the Training Program of the Sichuan Province Science and the Technology Innovation Seedling Project(No.MZGC20230012)are acknowledged.
The development of modern engineering components and equipment features large size,intricate shape and long service life,which places greater demands on valid methods for fatigue performance analysis.Achieving a smoot...
关键词:Notch fatigue Size effect Energy field intensity Life prediction Probabilistic modelling 
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