Prediction Method of Tea Disease Based on HP Filter and Ant Colony Grey Model DOI
Rong Ye, Tong Li, Yun He

и другие.

Опубликована: Дек. 16, 2023

Язык: Английский

Particle swarm optimization for hybrid mutant slime mold: An efficient algorithm for solving the hyperparameters of adaptive Grey-Markov modified model DOI
Gang Hu, Sa Wang,

Jiulong Zhang

и другие.

Information Sciences, Год журнала: 2024, Номер 689, С. 121417 - 121417

Опубликована: Сен. 3, 2024

Язык: Английский

Процитировано

3

Logistic-Grey-Markov prediction model DOI
Lei Zhang, Ruijiang Li, Chen Jia

и другие.

Grey Systems Theory and Application, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Purpose In this study, a novel grey combined model, termed the logistic-Grey-Markov is proposed. This model aims to construct relation function between transition probabilities and residual errors fully utilize information from calculate optimal for more accurate predictions. Design/methodology/approach To address issue, logistic introduced improved accommodate different types of samples. Then applied sample errors. Additionally, obtain coefficients in function, least square objective constructed, Levenberg–Marquardt algorithm employed. With these coefficients, can probabilities. Findings The ensures that utilized case studies demonstrate proposed effectively improve prediction accuracy. Originality/value One strengths Grey-Markov its ability predict outcomes with small highly volatile However, accuracy not ideal due waste errors, especially when only size available. model.

Язык: Английский

Процитировано

0

Intelligent coal gangue identification: A novel amplitude frequency sensitive neural network DOI
Zipeng Zhang, Zhencai Zhu, Bin Meng

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126880 - 126880

Опубликована: Фев. 1, 2025

Процитировано

0

Decision Support System Based on Grey Systems and Markov Chain MCGM (1,1) Applied to Improve Forecast for Demand Uncertainty DOI
Francisco Trejo, Rafael Torres-Escobar, Alberto Ochoa

и другие.

Lecture notes in computer science, Год журнала: 2025, Номер unknown, С. 16 - 27

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

AEPSO: An adaptive learning particle swarm optimization for solving the hyperparameters of dynamic periodic regulation grey model DOI
Gang Hu, Sa Wang,

Bin Shu

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127578 - 127578

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Alternative Energy Will Greatly Reduce the Impact of Aircraft Activities on Public Health in China DOI
Qiang Cui,

Zike Jia

Environmental Science & Technology, Год журнала: 2025, Номер unknown

Опубликована: Май 7, 2025

The increasing PM2.5 emissions from aviation in China significantly impact human health, necessitating the urgent adoption of clean energy solutions. This study assesses aviation-related on deaths 2024 to 2050. concentration data 2015 2022 are used as a baseline, and three healthcare development scenarios considered. then compares changes concentrations under different mitigation pathways, including Sustainable Aviation Fuel (SAF), Hydrogen Turbine Engine (HTE), Cell (HFC) engine. It incorporates these into Global Exposure Mortality Model (GEMM) estimate excess attributable activities China. scenario with significant medical improvements results 4365 by 2050, only 15.37% Business Usual (BAU), 32.91% congestion due severe aging. Using China's sector can reduce number caused aviation, varying degrees improvement depending start time type used. Further analysis reveals that all scenarios, proportion male is higher than females, at 58.10, 61.20, 59.23%. Deaths ischemic heart disease (IHD) constitute highest proportion, approximately 49.43%.

Язык: Английский

Процитировано

0

A novel probabilistic forecasting system based on quantile combination in electricity price DOI
Yan Xu, Jing Li, Honglu Wang

и другие.

Computers & Industrial Engineering, Год журнала: 2023, Номер 187, С. 109834 - 109834

Опубликована: Дек. 14, 2023

Язык: Английский

Процитировано

7

An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology DOI
Jujie Wang, Ying Dong

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108282 - 108282

Опубликована: Март 19, 2024

Язык: Английский

Процитировано

2

Bearing fault diagnosis for variable working conditions via lightweight transformer and homogeneous generalized contrastive learning with inter-class repulsive discriminant DOI
Qiang Zhou, Wengang Ma, Yadong Zhang

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 139, С. 109548 - 109548

Опубликована: Окт. 30, 2024

Язык: Английский

Процитировано

1

Enriched nonlinear grey compositional model for analyzing multi-trend mixed data and practical applications DOI
Hui Li, Naiming Xie, Kailing Li

и другие.

Applied Mathematical Modelling, Год журнала: 2024, Номер 130, С. 175 - 190

Опубликована: Март 6, 2024

Язык: Английский

Процитировано

0