APPLICATION OF ARTIFICIAL NEURAL NETWORK (ANN) FOR PREDICTION OF SENSIBLE AND LATENT HEAT LOSSES FROM A COW

Authors

  • Zahid A. Khan Zahid A. Khan School of Mechanical Engineering Universiti Sains Malaysia 14300 Nibong Tebal, Penang MALAYSIA
  • S. Kamaruddin S. Kamaruddin School of Mechanical Engineering Universiti Sains Malaysia 14300 Nibong Tebal, Penang MALAYSIA
  • G.A. Quadir G.A. Quadir School of Mechanical Engineering Universiti Sains Malaysia 14300 Nibong Tebal, Penang MALAYSIA
  • A. Suhail A. Suhail School of Mechanical Engineering Universiti Sains Malaysia 14300 Nibong Tebal, Penang MALAYSIA
  • K.N. Seetharamu K.N. Seetharamu School of Mechanical Engineering Universiti Sains Malaysia 14300 Nibong Tebal, Penang MALAYSIA

Keywords:

Artificial neural network. heat losses . evaporative cooling. convective cooling. wet fur

Abstract

Artificial Neural Network (ANN) based on feed-forward backpropagation model is used to
predict sensible and latent heat losses from the wet-skin surface and fur laver of a cow. A
mathematical model is used 10 generate training data to train the neural network. The
predicted skin temperalures, latent. convective, radiative, sensible and total heat losses
due to the change in the 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 .

References

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Published

2018-04-24

How to Cite

Zahid A. Khan, Z. A. K., S. Kamaruddin, S. K., G.A. Quadir, G. Q., A. Suhail, A. S., & K.N. Seetharamu, K. S. (2018). APPLICATION OF ARTIFICIAL NEURAL NETWORK (ANN) FOR PREDICTION OF SENSIBLE AND LATENT HEAT LOSSES FROM A COW. Jurnal Mekanikal, 20(2). Retrieved from https://jurnalmekanikal.utm.my/index.php/jurnalmekanikal/article/view/189

Issue

Section

Mechanical

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