Add to ORKGArtificial 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 layer of a cow. A mathematical model is used to generate training data to train the neural network. The predicted skin temperatures, 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
Increased global temperatures and climatic anomalies, such as heatwaves, as a product of climate cha...
Neural networks have been proven to successfully predict the results of complex non-linear problems ...
Sensible heat flux, a key component of the surface energy balance, is difficult to estimate in pract...
Artificial Neural Network (ANN) based on feed-forward backpropagation model is used to predict sensi...
A multi-layered feedforward fully-connected Artificial Neural Network (ANN) based on Levenberg-Marqu...
Medium and maximum air temperatures around the milk cowsheds were measured and these empirical data ...
ABSTRACT The objective of this study was to develop artificial neural networks (ANNs) for predicting...
Artificial Neural Networks (ANN) simulation for industrial engineering is used to define critical te...
This paper presents a comprehensive mathematical model that calculates heat and mass transfer from ...
The aim of this research is to use artificial neural networks computing technology for estimating th...
Dairy cattle are particularly sensitive to heat stress due to a higher metabolic rate needed for mil...
The ability of an artificial neural network (ANN) model for heat transfer analysis in a converging-d...
Heat stress is harmful to the health and productivity of livestock. Several models have been propose...
This study developed a three-node mechanistic model to simulate processes of Holstein dairy cows phy...
The accurate determination of thermophysical properties of milk is very important for design, simula...
Increased global temperatures and climatic anomalies, such as heatwaves, as a product of climate cha...
Neural networks have been proven to successfully predict the results of complex non-linear problems ...
Sensible heat flux, a key component of the surface energy balance, is difficult to estimate in pract...
Artificial Neural Network (ANN) based on feed-forward backpropagation model is used to predict sensi...
A multi-layered feedforward fully-connected Artificial Neural Network (ANN) based on Levenberg-Marqu...
Medium and maximum air temperatures around the milk cowsheds were measured and these empirical data ...
ABSTRACT The objective of this study was to develop artificial neural networks (ANNs) for predicting...
Artificial Neural Networks (ANN) simulation for industrial engineering is used to define critical te...
This paper presents a comprehensive mathematical model that calculates heat and mass transfer from ...
The aim of this research is to use artificial neural networks computing technology for estimating th...
Dairy cattle are particularly sensitive to heat stress due to a higher metabolic rate needed for mil...
The ability of an artificial neural network (ANN) model for heat transfer analysis in a converging-d...
Heat stress is harmful to the health and productivity of livestock. Several models have been propose...
This study developed a three-node mechanistic model to simulate processes of Holstein dairy cows phy...
The accurate determination of thermophysical properties of milk is very important for design, simula...
Increased global temperatures and climatic anomalies, such as heatwaves, as a product of climate cha...
Neural networks have been proven to successfully predict the results of complex non-linear problems ...
Sensible heat flux, a key component of the surface energy balance, is difficult to estimate in pract...