The role of Artificial Neural Network (ANN) in predicting skin surface temperature, evaporative and convective heat losses from wet-skin surface of a cow / Zahid A. Khan … [et al.]

UNSPECIFIED (2006) The role of Artificial Neural Network (ANN) in predicting skin surface temperature, evaporative and convective heat losses from wet-skin surface of a cow / Zahid A. Khan … [et al.]. Journal of Mechanical Engineering (JMechE), 3 (1). pp. 47-62. ISSN 1823-5514 ; 2550-164X

Abstract

A multi-layered feedforward fully-connected Artificial Neural Network (ANN) based on Levenberg-Marquardt training algorithm is used to predict skin temperature, evaporative and convective heat losses from a cow. The mathematical model available in the literature is used to generate training data to train the neural network. The predicted skin temperatures, evaporative and convective heat losses due to the change in level of wetness, air velocity, relative humidity and ambient air temperature using ANN agree very closely with those obtained from the mathematical model used in the analysis.

Metadata

Item Type: Article
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
UiTM Journal Collections: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 1823-5514 ; 2550-164X
Volume: 3
Number: 1
Page Range: pp. 47-62
Keywords: Artificial Neural Network; Heat Stress; Evaporative cooling; Convective cooling; Fur layer
Date: 2006
URI: https://ir.uitm.edu.my/id/eprint/17592
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17592

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