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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 ...
Application of response surface methodology and artificial neural networks for optimization of recombinant Oryza sativa non-symbiotic hemoglobin 1 production by escherichia coli in medium containing byproduct glycerol
(Elsevier, 2010-10)
Production of recombinant Oryza sativa non-symbiotic hemoglobin 1 (OsHb1) by Escherichia coli was maximized in shake-flask cultures in media containing tryptone, yeast extract, sodium chloride and byproduct glycerol from ...
How do forage availability and climate control sheep reproductive performance?. An analysis based on artificial neural networks and remotely sensed data
(Elsevier Science, 2008-09)
Environmental variability affects life history and fitness of both animal and plant species. For herbivores in particular, climate can have strong direct and indirect effects on demography, which tend to exacerbate in arid ...
Microwave tomography with phaseless data on the calcaneus by means of artificial neural networks
(Springer, 2019-02)
The aim of this study is to use a multilayer perceptron (MLP) artificial neural network (ANN) for phaseless imaging the human heel (modeled as a bilayer dielectric media: bone and surrounding tissue) and the calcaneus ...
Effects of high power ultrasound treatments on the phenolic, chromatic and aroma composition of young and aged red wine
(Elsevier Science, 2019-12)
In this study, the effects of both ultrasonic bath and probe treatments on the phenolic, chromatic and aroma composition of young red wine Cabernet Sauvignon were studied and modeled by artificial neural networks (ANNs). ...
Knowledge Source Discovery: An experience using Ontologies, WordNet and Artificial Neural Networks
(Springer, 2009-09)
This paper describes our continuing research on ontology-based knowledge source discovery on the Semantic Web. The research documented here is focused on discovering distributed knowledge sources from a user query using ...