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Prediction Model of Internal Temperature Using Backpropagation Algorithm for Climate Control in Greenhouse

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Received: January 8, 2018 Revised: March 23, 2018 Accepted: May 20, 2018

OPEN ACCESS

HORTICULTURAL SCIENCE and TECHNOLOGY 37(1):166, 2019

URL: http://www.kjhst.org pISSN : 1226-8763 eISSN : 2465-8588

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Copyrightⓒ2019 Korean Society for Horticultural Science.

166 Horticultural Science and Technology

ERRATUM

https://doi.org/10.12972/kjhst.20190016

Prediction Model of Internal Temperature Using Backpropagation Algorithm for Climate Control in Greenhouse

Sang Yeob Kim

1,4

, Sang Min Lee

1

, Kyoung Sub Park

2

, and Keun Ho Ryu

3,4*

1

Department of Clean Fuel & Power Generation, Korea Institute of Machinery & Materials, Daejeon 34103, Korea

2

Protected Horticulture Research Institute, National Institute of Horticultural and Herbal Science, Haman 52054, Korea

3

Faculty of Information Technology, Ton Doc Thang University, Ho Chi Minh City 700000, Vietnam

4

College of Electrical and Computer Engineering, Chungbuk National University, Cheongju 28644, Korea

*Corresponding author: [email protected], [email protected]

This is a correction in terms of AFFILIATION the correspondence author as follows:

Before correction:

3

Faculty of Information Technology, Ton Doc Thang University, Ho Chi Minh City 700000, Vietnam

After correction:

3

Faculty of Information Technology, Ton Duc Thang University, Ho Chi

Minh City 700000, Vietnam

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