Sambalpur University Institute of Information Technology
Purohit, Sourav Kumar; Panigrahi, Sibarama
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models Journal Article
In: Information Sciences, vol. 658, 2024, ISSN: 0020-0255.
Links | BibTeX | Tags: Artificial Intelligence, Computer Science Applications, Control and Systems Engineering, Information Systems and Management, Software, Theoretical Computer Science
@article{Purohit2024b,
title = {Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models},
author = {Sourav Kumar Purohit and Sibarama Panigrahi},
doi = {10.1016/j.ins.2023.120021},
issn = {0020-0255},
year = {2024},
date = {2024-02-01},
journal = {Information Sciences},
volume = {658},
publisher = {Elsevier BV},
keywords = {Artificial Intelligence, Computer Science Applications, Control and Systems Engineering, Information Systems and Management, Software, Theoretical Computer Science},
pubstate = {published},
tppubtype = {article}
}
Pattanayak, Radha Mohan; Behera, Himansu Sekhar; Panigrahi, Sibarama
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine Journal Article
In: Information Sciences, vol. 626, pp. 494–523, 0000, ISSN: 0020-0255.
Links | BibTeX | Tags: Artificial Intelligence, Computer Science Applications, Control and Systems Engineering, Information Systems and Management, Software, Theoretical Computer Science
@article{MohanPattanayak2023,
title = {A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine},
author = {Radha Mohan Pattanayak and Himansu Sekhar Behera and Sibarama Panigrahi},
doi = {10.1016/j.ins.2023.01.075},
issn = {0020-0255},
journal = {Information Sciences},
volume = {626},
pages = {494--523},
publisher = {Elsevier BV},
keywords = {Artificial Intelligence, Computer Science Applications, Control and Systems Engineering, Information Systems and Management, Software, Theoretical Computer Science},
pubstate = {published},
tppubtype = {article}
}
Pattanayak, Radha Mohan; Behera, Himansu Sekhar; Panigrahi, Sibarama
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine Journal Article
In: Information Sciences, vol. 626, pp. 494–523, 0000, ISSN: 0020-0255.
Links | BibTeX | Tags: Artificial Intelligence, Computer Science Applications, Control and Systems Engineering, Information Systems and Management, Software, Theoretical Computer Science
@article{MohanPattanayak2023b,
title = {A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine},
author = {Radha Mohan Pattanayak and Himansu Sekhar Behera and Sibarama Panigrahi},
doi = {10.1016/j.ins.2023.01.075},
issn = {0020-0255},
journal = {Information Sciences},
volume = {626},
pages = {494--523},
publisher = {Elsevier BV},
keywords = {Artificial Intelligence, Computer Science Applications, Control and Systems Engineering, Information Systems and Management, Software, Theoretical Computer Science},
pubstate = {published},
tppubtype = {article}
}