An adaptive Grey-Markov model based on parameters Self-optimization with application to passenger flow volume prediction-Reference-Cited by-同舟云学术

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An adaptive Grey-Markov model based on parameters Self-optimization with application to passenger flow volume prediction

Published:2022-09 Issue: Volume:202 Page:117302
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ye Jianmei,Xu Zeshui,Gou Xunjie

Funder

Chongqing Municipal Education Commission

Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission

Chongqing Municipal Education Commission Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference64 articles.

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2. Bridge, J.A., Greenhouse, J.B., Ruch, D., Stevens, J., Ackerman, J., Sheftall, A.H., Horowitz, L.M., Kelleher. K.J., & Campo, J.V. (2020). Association between the release of Netflix's 13 reasons why and suicide rates in the United States: an interrupted time series analysis. Journal of the American Academy of Child and Adolescent Psychiatry, 59(2), 236-243. https://doi.org/ 10.1016/j.jaac.2019.04.020.

3. Camelo, H.d.N., Lucio, P.S., Leal Junior, J.B.V., Carvalho, P.C.M., & Santos, D.v.G. (2018). Innovative hybrid models for forecasting time series applied in wind generation based on the combination of time series models with artificial neural networks. Energy, 151, 347-357. https://doi.org/10.1016/j.energy.2018.03.077.

4. Forecasting of foreign exchange rates of Taiwan's major trading partners by novel nonlinear grey Bernoulli model NGBM(1,1);Chen;Communications in Nonlinear Science and Numerical Simulation,2008

5. Forecasting Taiwan’s major stock indices by the Nash nonlinear grey Bernoulli model;Chen;Expert Systems with Applications,2010

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