Correction to: Deep learning frameworks to learn prediction and simulation focused control system models (Applied Intelligence, (2022), 52, 1, (662-679), 10.1007/s10489-021-02416-0)

Turcan Tuna; Aykut Beke; Tufan Kumbasar

doi:10.1007/s10489-021-02538-5

Correction to: Deep learning frameworks to learn prediction and simulation focused control system models (Applied Intelligence, (2022), 52, 1, (662-679), 10.1007/s10489-021-02416-0)

Turcan Tuna
, Aykut Beke
, Tufan Kumbasar^*

^*Corresponding author for this work

Department of Control and Automation Engineering

Istanbul Technical University

Research output: Contribution to journal › Comment/debate

2 Citations (Scopus)

Abstract

The acknowledgment in the original article unfortunately is missing. This research is supported by the project (118E807) of Scientific and Technological Research Council of Turkey (TUBITAK).

Original language	English
Pages (from-to)	680
Number of pages	1
Journal	Applied Intelligence
Volume	52
Issue number	1
DOIs	https://doi.org/10.1007/s10489-021-02538-5
Publication status	Published - Jan 2022

Bibliographical note

Publisher Copyright:
© 2021, Springer Science+Business Media, LLC, part of Springer Nature.

Funding

This research is supported by the project (118E807) of Scientific and Technological Research Council of Turkey (TUBITAK).

Funders
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Access to Document

10.1007/s10489-021-02538-5

Cite this

@article{b6731c8f215c4461b2697447e0d41d59,

title = "Correction to: Deep learning frameworks to learn prediction and simulation focused control system models (Applied Intelligence, (2022), 52, 1, (662-679), 10.1007/s10489-021-02416-0)",

abstract = "The acknowledgment in the original article unfortunately is missing. This research is supported by the project (118E807) of Scientific and Technological Research Council of Turkey (TUBITAK).",

author = "Turcan Tuna and Aykut Beke and Tufan Kumbasar",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Science+Business Media, LLC, part of Springer Nature.",

year = "2022",

month = jan,

doi = "10.1007/s10489-021-02538-5",

language = "English",

volume = "52",

pages = "680",

journal = "Applied Intelligence",

issn = "0924-669X",

publisher = "Springer Netherlands",

number = "1",

}

TY - JOUR

T1 - Correction to

T2 - Deep learning frameworks to learn prediction and simulation focused control system models (Applied Intelligence, (2022), 52, 1, (662-679), 10.1007/s10489-021-02416-0)

AU - Tuna, Turcan

AU - Beke, Aykut

AU - Kumbasar, Tufan

PY - 2022/1

Y1 - 2022/1

N2 - The acknowledgment in the original article unfortunately is missing. This research is supported by the project (118E807) of Scientific and Technological Research Council of Turkey (TUBITAK).

AB - The acknowledgment in the original article unfortunately is missing. This research is supported by the project (118E807) of Scientific and Technological Research Council of Turkey (TUBITAK).

UR - https://www.scopus.com/pages/publications/85106207493

U2 - 10.1007/s10489-021-02538-5

DO - 10.1007/s10489-021-02538-5

M3 - Comment/debate

AN - SCOPUS:85106207493

SN - 0924-669X

VL - 52

SP - 680

JO - Applied Intelligence

JF - Applied Intelligence

IS - 1

ER -

Correction to: Deep learning frameworks to learn prediction and simulation focused control system models (Applied Intelligence, (2022), 52, 1, (662-679), 10.1007/s10489-021-02416-0)

Abstract

Bibliographical note

Funding

Access to Document

Other files and links

Fingerprint

Cite this