Weide Li - researchr alias

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Viewing Publication 1 - 8 from 8

2023

A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature PredictionZihan Hao, Weide Li, Jinran Wu, Shaotong Zhang, Shujuan Hu. remotesensing, 15(4):900, February 2023. [doi]

2022

An Interpretable Time Series Clustering Neural Network Based on Shape Feature ExtractionWeide Li, Zihan Hao, Zhihe Zhang. ijprai, 36(13), 2022. [doi]

2020

A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problemsHui Chen, Weide Li, Xuan Yang. eswa, 158:113612, 2020. [doi]

Using lattice SIS epidemiological model with clustered treatment to investigate epidemic controlShipeng Nie, Weide Li. biosystems, 191-192:104119, 2020. [doi]

An improved evolution fruit fly optimization algorithm and its applicationXuan Yang, Weide Li, Lili Su, Yaling Wang, Ailing Yang. nca, 32(14):9897-9914, 2020. [doi]

2019

Effective passenger flow forecasting using STL and ESN based on two improvement strategiesLan Qin, Weide Li, Shijia Li. ijon, 356:244-256, 2019. [doi]

Short-term electricity load forecasting based on feature selection and Least Squares Support Vector MachinesAiling Yang, Weide Li, Xuan Yang. kbs, 163:159-173, 2019. [doi]

2017

A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, ChinaWeide Li, Demeng Kong, Jinran Wu. cin, 2017, 2017. [doi]

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