Search Results - "Zeng, Yu-Rong"

Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19.

Authors: Wu, Binrong Wang, Lin Tao, Rui et al.

Source: Neural Computing & Applications; Mar2023, Vol. 35 Issue 7, p5437-5463, 27p

Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19.

Authors: Wu, Binrong Wang, Lin Zeng, Yu-Rong

Source: Applied Intelligence; Jun2023, Vol. 53 Issue 11, p14493-14514, 22p

Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution.

Authors: Wu, Binrong Wang, Lin Lv, Sheng-Xiang et al.

Source: Applied Intelligence; Mar2023, Vol. 53 Issue 5, p5473-5496, 24p

An integrated model to select an ERP system for Chinese small- and medium-sized enterprise under uncertainty.

Authors: Zeng, Yu-Rong Wang, Lin Xu, Xian-Hao

Source: Technological & Economic Development of Economy. Jan2017, Vol. 23 Issue 1, p38-58. 21p.

Subjects: Enterprise resource planning, Economic competition, Computer software selection, Fuzzy logic, Economic aspects of decision making

Interpretable Tourism Demand Forecasting with Two-Stage Decomposition and Temporal Fusion Transformers.

Authors: Wu, Binrong Wang, Lin Zeng, Yu-Rong

Source: Journal of Systems Science & Complexity. Dec2024, Vol. 37 Issue 6, p2654-2679. 26p.

A differential evolution algorithm for joint replenishment problem using direct grouping and its application.

Authors: Wang, Lin He, Jing Zeng, Yu-Rong

Source: Expert Systems; Nov2012, Vol. 29 Issue 5, p429-441, 13p, 5 Charts

Effective wind power prediction using novel deep learning network: Stacked independently recurrent autoencoder.

Authors: Wang, Lin Tao, Rui Hu, Huanling et al.

Source: Renewable Energy: An International Journal. Feb2021, Vol. 164, p642-655. 14p.

Subject Terms: *Wind power, Deep learning, Forecasting, Standard deviations, Wind forecasting

Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network.

Authors: Wang, Lin Wu, Binrong Zhu, Qing et al.

Source: Neural Processing Letters; 2020, Vol. 52 Issue 3, p2607-2636, 30p

Optimizing echo state network with backtracking search optimization algorithm for time series forecasting.

Authors: Wang, Zhigang Zeng, Yu-Rong Wang, Sirui et al.

Source: Engineering Applications of Artificial Intelligence. May2019, Vol. 81, p117-132. 16p.

Subjects: Mathematical optimization, Search algorithms, Evolutionary algorithms, Regression analysis, Echo

Optimizing the new coordinated replenishment and delivery model considering quantity discount and resource constraints.

Authors: Liu, Rui Zeng, Yu-Rong Qu, Hui et al.

Source: Computers & Industrial Engineering. Feb2018, Vol. 116, p82-96. 15p.

Subjects: Tabu search algorithm, Constraint satisfaction, Computational complexity, Problem solving, Heuristic algorithms, Quantity discounts

New fruit fly optimization algorithm with joint search strategies for function optimization problems.

Authors: Wang, Lin Xiong, Yingnan Li, Shuwen et al.

Source: Knowledge-Based Systems; Jul2019, Vol. 176, p77-96, 20p

Social media-based multi-modal ensemble framework for forecasting soybean futures price.

Authors: An, Wuyue Wang, Lin Zeng, Yu-Rong

Source: Computers & Electronics in Agriculture; Nov2024, Vol. 226, pN.PAG-N.PAG, 1p

Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network.

Authors: Zeng, Yu-Rong Zeng, Yi Choi, Beomjin et al.

Source: Energy. May2017, Vol. 127, p381-396. 16p.

Subjects: Energy consumption, Back propagation, Artificial neural networks, Decision making, Energy policy, Gross domestic product

Text‐based soybean futures price forecasting: A two‐stage deep learning approach.

Authors: An, Wuyue Wang, Lin Zeng, Yu‐Rong

Source: Journal of Forecasting. Mar2023, Vol. 42 Issue 2, p312-330. 19p.

Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China.

Authors: Wang, Lin Lv, Sheng-Xiang Zeng, Yu-Rong

Source: Energy; Jul2018, Vol. 155, p1013-1031, 19p

An Effective Hybrid Differential Evolution Algorithm Incorporating Simulated Annealing for Joint Replenishment and Delivery Problem with Trade Credit.

Authors: Zeng, Yu-Rong Peng, Lu Zhang, Jinlong et al.

Source: International Journal of Computational Intelligence Systems; Dec2016, Vol. 9 Issue 6, p1001-1015, 15p

IM-ECG: An interpretable framework for arrhythmia detection using multi-lead ECG.

Authors: Tao, Rui Wang, Lin Xiong, Yingnan et al.

Source: Expert Systems with Applications; Mar2024:Part A, Vol. 237, pN.PAG-N.PAG, 1p

Modeling and optimization for the joint replenishment and delivery problem with heterogeneous items.

Authors: Qu, Hui Wang, Lin Zeng, Yu-Rong

Source: Knowledge-Based Systems; Dec2013, Vol. 54, p207-215, 9p

Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal

Authors: Wang, Lin Fu, Qing-Liang Lee, Chi-Guhn et al.

Source: Knowledge-Based Systems; Feb2013, Vol. 39, p57-66, 10p

An effective and efficient differential evolution algorithm for the integrated stochastic joint replenishment and delivery model

Authors: Wang, Lin Dun, Cai-Xia Bi, Wen-Jie et al.

Source: Knowledge-Based Systems; Dec2012, p104-114, 11p