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Academic Journal

Regression trees modeling of time series for air pollution analysis and forecasting.

Authors : Gocheva-Ilieva, Snezhana Georgieva (AUTHOR); Voynikova, Desislava Stoyanova (AUTHOR); Stoimenova, Maya Plamenova (AUTHOR)

Subjects: TIME series analysis; AIR pollution; AIR analysis

Source: Neural Computing & Applications. Dec2019, Vol. 31 Issue 12, p9023-9039. 17p.

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Academic Journal

An effective integrated genetic programming and neural network model for electronic nose calibration of air pollution monitoring application.

Authors : Ari, Davut (AUTHOR); Alagoz, Baris Baykant (AUTHOR)

Subjects: ARTIFICIAL neural networks; GENETIC programming; AIR pollution monitoring

Source: Neural Computing & Applications. Aug2022, Vol. 34 Issue 15, p12633-12652. 20p.

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Academic Journal

A hybrid rolling grey framework for short time series modelling.

Authors : Cui, Zhesen (AUTHOR); Wu, Jinran (AUTHOR); Ding, Zhe (AUTHOR)

Subjects: TIME series analysis; DECISION making; MATHEMATICAL optimization

Source: Neural Computing & Applications. Sep2021, Vol. 33 Issue 17, p11339-11353. 15p.

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Academic Journal

Soft computing model coupled with statistical models to estimate future of stock market.

Authors : Singh, Sarbjit (AUTHOR); Parmar, Kulwinder Singh (AUTHOR); Kumar, Jatinder (AUTHOR)

Subjects: STATISTICAL models; STOCK exchanges; SOFT computing

Source: Neural Computing & Applications. Jul2021, Vol. 33 Issue 13, p7629-7647. 19p.

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Academic Journal

Air pollution prediction based on factory-aware attentional LSTM neural network.

Authors : Liu, Duen-Ren (AUTHOR); Hsu, Yi-Kuan (AUTHOR); Chen, Hsing-Yu (AUTHOR)

Subjects: INDUSTRIAL pollution; AIR pollution; AIR quality monitoring stations

Source: Computing. 2021, Vol. 103 Issue 1, p75-98. 24p.

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Academic Journal

A novel validation framework to enhance deep learning models in time-series forecasting.

Authors : Livieris, Ioannis E. (AUTHOR); Stavroyiannis, Stavros (AUTHOR); Pintelas, Emmanuel (AUTHOR)

Subjects: FORECASTING; DATA mining; TIME series analysis

Source: Neural Computing & Applications. Dec2020, Vol. 32 Issue 23, p17149-17167. 19p.

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Regression trees modeling of time series for air pollution analysis and forecasting.

An effective integrated genetic programming and neural network model for electronic nose calibration of air pollution monitoring application.

A hybrid rolling grey framework for short time series modelling.

Soft computing model coupled with statistical models to estimate future of stock market.

Air pollution prediction based on factory-aware attentional LSTM neural network.

A novel validation framework to enhance deep learning models in time-series forecasting.

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Regression trees modeling of time series for air pollution analysis and forecasting.

An effective integrated genetic programming and neural network model for electronic nose calibration of air pollution monitoring application.

A hybrid rolling grey framework for short time series modelling.

Soft computing model coupled with statistical models to estimate future of stock market.

Air pollution prediction based on factory-aware attentional LSTM neural network.

A novel validation framework to enhance deep learning models in time-series forecasting.

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