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Stock Market Prediction Using Artificial Neural Networks

Stock Market Prediction Using Artificial Neural Networks

Identification of Phosphorylation Sites in Protein Kinase A Substrates Using Artificial Neural Networks and Mass Spectrometry

Identification of Phosphorylation Sites in Protein Kinase A Substrates Using Artificial Neural Networks and Mass Spectrometry

Three-dimensional Spectral Classification of Low-Metallicity Stars Using Artificial Neural Networks

We explore the application of artificial neural networks (ANNs) for the estimation of atmospheric parameters (Teff, logg, and [Fe/H]) for Galactic F- and G-type…

ARTIFICIAL NEURAL NETWORKS IN TIME SERIES FORECASTING: A COMPARATIVE ANALYSIS1

ARTIFICIAL NEURAL NETWORKS IN TIME SERIES FORECASTING: A COMPARATIVE ANALYSIS1

Using artificial neural networks to map the spatial distribution of understorey bamboo from remote sensing data

Using artificial neural networks to map the spatial distribution of understorey bamboo from remote sensing data

Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans

Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans

Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans

Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans

Wavelet transform and artificial neural networks applied to voice disorders identification

Wavelet transform and artificial neural networks applied to voice disorders identification

HYBRID TECHNIQUE BETWEEN DESIGN OF EXPERIMENTS AND ARTIFICIAL NEURAL NETWORKS FOR RAINFALL-RUNOFF MODEL CALIBRATION METHOD

Calibration is one of standard procedures to be conducted before the application of hydrology models. Some rainfall-runoff models have many model parameters which…

Optimisation of olefin epoxidation catalysts with the application of high-throughput and genetic algorithms assisted by artificial neural networks (softcomputing techniques

Optimisation of olefin epoxidation catalysts with the application of high-throughput and genetic algorithms assisted by artificial neural networks (softcomputing…

Artificial neural networks for machining processes surface roughness modeling

In recent years, several papers on machining processes have focused on the use of artificial neural networks for modeling surface roughness. Even in such a…

Download Clinical Applications of Artificial Neural Networks | Online

Download Download Clinical Applications of Artificial Neural Networks | Online PDF Online Download Here…

Power Loss and Permeability Prediction, Sensitivity Analysis on Toroidal Transformer Cores Using Artificial Neural Networks

In this investigation a multi-layer perception with a feed-forward neural network model was used. The input parameters included the outer and inner diameters of…
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