Artificial neural networks and multiple linear regression as potential methods for modelling body surface temperature of pig
Author:
Affiliation:
1. Department of Bio-systems Engineering, Gyeongsang National University (Institute of Smart Farm), Jinju, Korea
2. Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali, Bangladesh
Publisher
Informa UK Limited
Subject
General Veterinary,Animal Science and Zoology
Link
https://www.tandfonline.com/doi/pdf/10.1080/09712119.2020.1761818
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1. Dynamic model for ammonia volatilization in housing with partially slatted floors, for fattening pigs
2. Association between Grain Size and Shape and Quality Traits, and Path Analysis of Thousand Grain Weight in Iranian Bread Wheat Landraces from Different Geographic Regions
3. Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)
4. Modeling Oil Content of Sesame (Sesamum indicumL.) Using Artificial Neural Network and Multiple Linear Regression Approaches
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