Investigating the feasibility of using computational fluid dynamics based response surface methodology and neural network to model the performance of the individualised ventilation in sow houses

Tao Huang; Li Rong; Guoqiang Zhang

doi:10.1016/j.biosystemseng.2021.12.015

Investigating the feasibility of using computational fluid dynamics based response surface methodology and neural network to model the performance of the individualised ventilation in sow houses

^*Corresponding author for this work

Department of Civil and Architectural Engineering - Design and Construction

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Abstract

Original language	English
Journal	Biosystems Engineering
Volume	214
Pages (from-to)	138-151
Number of pages	14
ISSN	1537-5110
DOIs	https://doi.org/10.1016/j.biosystemseng.2021.12.015
Publication status	Published - Feb 2022

Access to Document

10.1016/j.biosystemseng.2021.12.015

https://www.sciencedirect.com/science/article/pii/S1537511021003238?via%3Dihub

Cite this

@article{364f9852e04e4bec8fe022e74d54f5b8,

title = "Investigating the feasibility of using computational fluid dynamics based response surface methodology and neural network to model the performance of the individualised ventilation in sow houses",

author = "Tao Huang and Li Rong and Guoqiang Zhang",

year = "2022",

month = feb,

doi = "10.1016/j.biosystemseng.2021.12.015",

language = "English",

volume = "214",

pages = "138--151",

journal = "Biosystems Engineering",

issn = "1537-5110",

publisher = "Academic Press",

}

Investigating the feasibility of using computational fluid dynamics based response surface methodology and neural network to model the performance of the individualised ventilation in sow houses. / Huang, Tao; Rong, Li ; Zhang, Guoqiang.
In: Biosystems Engineering, Vol. 214, 02.2022, p. 138-151.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

TY - JOUR

T1 - Investigating the feasibility of using computational fluid dynamics based response surface methodology and neural network to model the performance of the individualised ventilation in sow houses

AU - Huang, Tao

AU - Rong, Li

AU - Zhang, Guoqiang

PY - 2022/2

Y1 - 2022/2

U2 - 10.1016/j.biosystemseng.2021.12.015

DO - 10.1016/j.biosystemseng.2021.12.015

M3 - Journal article

SN - 1537-5110

VL - 214

SP - 138

EP - 151

JO - Biosystems Engineering

JF - Biosystems Engineering

ER -