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Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens
(Poultry Science Assoc Inc, 2011-03-01)
Neural networks are capable of modeling any complex function and can be used in the poultry and animal production areas. The aim of this study was to investigate the possibility of using neural networks on an egg production ...
Sensitivity for Multivariate Calibration based on Multilayer Perceptron Artificial Neural Networks
(American Chemical Society, 2020-08)
The use of machine learning for multivariate spectroscopic data analysis in applications related to process monitoring has become very popular since non-linearities in the relationship between signal and predicted variables ...
Multilayer Feedforward Neural Network for Internet Traffic Classification
Recently, the efficient internet traffic classification has gained attention in order to improve service quality in IP networks. But the problem with the existing solutions is to handle the imbalanced dataset which has ...
An adaptive system based on artificial neural networks for NPK fluid fertilizer application
(Elsevier B.V., 2000-01-01)
The application process of fluid fertilizers through variable rates implemented by classical techniques with feedback and conventional equipments can be inefficient or unstable. This paper proposes an open-loop control ...
An adaptive system based on artificial neural networks for NPK fluid fertilizer application
(Elsevier B.V., 2000-01-01)
The application process of fluid fertilizers through variable rates implemented by classical techniques with feedback and conventional equipments can be inefficient or unstable. This paper proposes an open-loop control ...
Artificial neural networks for the chromatic dispersion prediction of photonic crystal fibers
(2013-09)
Multilayer perceptron artificial neural networks have been used for the efficient evaluation and prediction of the chromatic dispersion properties of microstructured optical fibers, with very low computational resources ...
Social-spider optimization-based artificial neural networks training and its applications for Parkinson's disease identification
(Ieee, 2014-01-01)
Evolutionary algorithms have been widely used for Artificial Neural Networks (ANN) training, being the idea to update the neurons' weights using social dynamics of living organisms in order to decrease the classification ...
Comparison of Regression and Neural Networks Models to Estimate Solar Radiation
(Instituto de Investigaciones Agropecuarias, INIA, 2010)
Reference evapotranspiration forecasting by artificial neural networks
(2017-01-01)
Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via ...