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Publication details

Document type
Book chapters


Title
Deep Neural Networks: A Hybrid Approach Using Box&Jenkins Methodology

Participants in the publication
Filipe R. Ramos (Author)
Dep. Estatística e Investigação Operacional
 Didier R. Lopes (Author)
Tiago E. Pratas (Author)

Date of Publication
2022

Where published
Innovations in Mechatronics Engineering II,Lecture Notes in Mechanical Engineering

Publication Identifiers
ISSN - 2195-4356

Publisher
Springer International Publishing

Edition
1

Number of pages
12
Starting page
51
Last page
62

Document Identifiers
DOI - https://doi.org/10.1007/978-3-031-09385-2_5
URL - http://dx.doi.org/10.1007/978-3-031-09385-2_5


Export

APA
Filipe R. Ramos, Didier R. Lopes, Tiago E. Pratas, (2022). Deep Neural Networks: A Hybrid Approach Using Box&Jenkins Methodology. Innovations in Mechatronics Engineering II,Lecture Notes in Mechanical Engineering, 51-62

IEEE
Filipe R. Ramos, Didier R. Lopes, Tiago E. Pratas, "Deep Neural Networks: A Hybrid Approach Using Box&Jenkins Methodology" in Innovations in Mechatronics Engineering II,Lecture Notes in Mechanical Engineering, 2022, pp. 51-62

BIBTEX
@incollection{56745, author = {Filipe R. Ramos and Didier R. Lopes and Tiago E. Pratas}, title = {Deep Neural Networks: A Hybrid Approach Using Box&Jenkins Methodology}, booktitle = {Innovations in Mechatronics Engineering II,Lecture Notes in Mechanical Engineering}, year = 2022, pages = {51-62}, address = {}, publisher = {Springer International Publishing} }