云南高校图书馆联盟文献共享服务平台- AUTOREGRESSION

AUTOREGRESSION: 作品数：25被引量：42H指数：4; 导出分析报告; 相关领域：理学更多>>; 相关作者：孙华妤张海峰李玉芝王靖华万陆更多>>; 相关机构：对外经济贸易大学中山大学上海交通大学广东省社会科学院更多>>; 相关期刊：《中山大学学报（自然科学版）（中英文）》《微型电脑应用》《Journal of Meteorological Research》《Journal of Arid Land》更多>>; 相关基金：国家自然科学基金国家社会科学基金福建省自然科学基金国家生猪现代产业技术体系建设项目更多>>

An improved GCN−TCN−AR model for PM_(2.5) predictions in the arid areas of Xinjiang,China: 《Journal of Arid Land》2025年第1期93-111,共19页CHEN Wenqian BAI Xuesong ZHANG Na CAO Xiaoyi; supported by the Program of Support Xinjiang by Technology(2024E02028,B2-2024-0359);Xinjiang Tianchi Talent Program of 2024,the Foundation of Chinese Academy of Sciences(B2-2023-0239);the Youth Foundation of Shandong Natural Science(ZR2023QD070).; As one of the main characteristics of atmospheric pollutants,PM_(2.5) severely affects human health and has received widespread attention in recent years.How to predict the variations of PM_(2.5) concentrations with h...; 关键词：air pollution PM_(2.5) concentrations graph convolution network(GCN)model temporal convolutional network(TCN)model autoregression(AR)model northern slope of the Tianshan Mountains

Network autoregression model with grouped factor structures: 《中山大学学报（自然科学版）（中英文）》2023年第5期24-37,共14页ZHANG Zhiyuan ZHU Xuening; Supported by National Natural Science Foundation of China(72222009,71991472)。; Network autoregression and factor model are effective methods for modeling network time series data.In this study,we propose a network autoregression model with a factor structure that incorporates a latent group stru...; 关键词：network autoregression factor structure HETEROGENEITY latent group structure network time series

A Look-Ahead Method for Forecasting the Concrete Price: 《Journal of Applied Mathematics and Physics》2022年第5期1859-1871,共13页Qing Liu Minghao Huang Woon-Seek Lee; Price movement of building materials increases the uncertainty of architectural planning. As a basic building material, commercial concrete is an important part of various construction costs. It is of great significan...; 关键词：Price Forecasting CONCRETE Deep Learning AUTOREGRESSION

SMOTEDNN: A Novel Model for Air Pollution Forecasting and AQI Classification被引量：2: 《Computers, Materials & Continua》2022年第4期1403-1425,共23页Mohd Anul Haq; Mohd Anul Haq would like to thank Deanship of Scientific Research at Majmaah University for supporting this work under Project No.R-2021-202.; Rapid industrialization and urbanization are rapidly deteriorating ambient air quality,especially in the developing nations.Air pollutants impose a high risk on human health and degrade the environment as well.Earlier...; 关键词：Air pollution SMOTE DNN CLASSIFICATION AUTOREGRESSION

An Intelligent Forecasting Model for Disease Prediction Using Stack Ensembling Approach: 《Computers, Materials & Continua》2022年第3期6041-6055,共15页Shobhit Verma Nonita Sharma Aman Singh Abdullah Alharbi Wael Alosaimi Hashem Alyami Deepali Gupta Nitin Goyal; The authors would like to express their gratitude to Taif University,Taif,Saudi Arabia for providing administrative and technical support.This work was supported by the Taif University Researchers supporting Project number(TURSP-2020/254).; This research work proposes a new stack-based generalization ensemble model to forecast the number of incidences of conjunctivitis disease.In addition to forecasting the occurrences of conjunctivitis incidences,the pr...; 关键词：Disease prediction stack ensemble neural network autoregression exponential smoothing auto-ARIMA holt winter

Modelling the Impact and Effects of Climatic Variability on Electricity Energy Consumption in the Yendi Municipality of Ghana: 《Open Journal of Energy Efficiency》2020年第1期1-13,共13页Wahab A. Iddrisu Sampson T. Appiah Khalid Abdul-Mumin Abdul-Rahman Abdul-Samed; One of the cherished assets of every economy is electricity since it has proven to be the major source of energy for industrialization. Developing economies like Ghana have suffered the downside of poor management of ...; 关键词：ELECTRICITY Energy CONSUMPTION Vector AUTOREGRESSION CLIMATIC VARIABLES

Greedy nonlinear autoregression for multifidelity computer models at different scales: 《Energy and AI》2020年第1期117-130,共14页W.Xing M.Razi R.M.Kirby K.Sun A.A.Shah; This work has been supported by DARPA TRADES Award HR0011-17-2-0016.; Although the popular multi-fidelity surrogate models,stochastic collocation and nonlinear autoregression have been applied successfully to multiple benchmark problems in different areas of science and engineering,they...; 关键词：Multi-fidelity models Autoregressive Gaussian processes Deep Gaussian processes Surrogate models Molecular dynamics Computational fluid dynamics

Effectiveness of Monetary Policy in China: Evidence from Factor-Augmented Vector Autoregression Model: 《Frontiers of Economics in China-Selected Publications from Chinese Universities》2019年第3期336-370,共35页Yunpeng Sun Jingjia Zhang; The anthors thank the support from Tianjin Philosophy and Social Science Planning Project(No.TJYYQN19-004);Project of National and Regional Research Center,Ministry of Education(No.ZX20170183);National Natural Science Foundation Youth Project(No.71803089).; Since 2002,the People's Bank of China has frequently used both quantity-based direct monetary instruments and price-based indirect monetary instruments to promote economic growth and stabilize price level.Specifically...; 关键词：China's MONETARY policy quantity-based direct INSTRUMENTS price-based indirect INSTRUMENTS factor-augmented vector AUTOREGRESSION model (FAVAR)

Versatile HAR model for realized volatility: A least square model averaging perspective被引量：4: 《Journal of Management Science and Engineering》2019年第1期55-73,共19页Yue Qiu Xinyu Zhang Tian Xie Shangwei Zhao; supported by the National Natural Science Foundation of China(71701175,71522004,11471324,71631008,and 71642006);the Ministry of Education of the People's Republic of China Project of Humanities and Social Sciences(17YJC790174 and 17YJC910011);the Natural Science Foundation of Fujian Province of China(2018J01116);the Fundamental Research Funds for the Central Universities China(20720171002,20720171076,20720181050,and 20720181004);the Educational and Scientific Research Program for Young and Middle-aged Instructors of Fujian Province(JAS170018).; A rapidly growing body of literature has documented improvements in forecasting financial return volatility measurement using various heterogeneous autoregression(HAR)type models.Most HAR-type models use a fixed lag i...; 关键词：Heterogeneous AUTOREGRESSION VOLATILITY forecasting Forecasting combination Model AVERAGING ASYMPTOTIC OPTIMALITY

A Nonlinear Autoregressive Scheme for Time Series Prediction via Artificial Neural Networks: 《Journal of Computer and Communications》2018年第9期14-23,共10页Rohit Raturi Hayk Sargsyan; This article is devoted to a time series prediction scheme involving the nonlinear autoregressive algorithm and its applications. The scheme is implemented by means of an artificial neural network containing a hidden ...; 关键词：NONLINEAR AUTOREGRESSION Time Series Prediction Data Analysis Deep Learning Scaled CONJUGATE Gradient METHOD Bayesian REGULARIZATION METHOD

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