Buscar
Mostrando ítems 1-10 de 446
Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural networks
(01/01/2013)
Wireless sensor networks (WSNs) have become much more relevant in recent years, mainly because they can be used in a wide diversity of applications. Real-time locating systems (RTLSs) are one of the most promising applications ...
Hybrid Neural Networks Applied to Brazilian Stock Market
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
ARTIFICIAL NEURAL NETWORKS APPLIED TO FLOOD FORECASTING FOR THE PANTANAL REGION IN MATO GROSSO DO SULREDES NEURAIS ARTIFICIAIS APLICADAS À PREVISÃO DE ENCHENTES PARA REGIÃO DO PANTANAL NO MATO GROSSO DO SUL
(Instituto de Geociências e Ciências Exatas, Universidade Estadual Paulista, 2020)
Advanced atomistic models for radiation damage in Fe-based alloys: Contributions and future perspectives from artificial neural networks
(Elsevier, 2018-06)
Machine learning, and more specifically artificial neural networks (ANN), are powerful and flexible numerical tools that can lead to significant improvements in many materials modelling techniques. This paper provides a ...
Prediction of lateral variations in reservoir properties throughout an interpreted seismic horizon using an artificial neural network
(Society of Exploration Geophysicists, 2016-03)
Successful use of an artificial neural network is shown to predict lateral variations of seismic velocity, density, thickness, and gamma rays associated with sand dune reservoirs identified on a previously interpreted ...
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 ...
Enhancement of multianalyte mass spectrometry detection through response surface optimization by least squares and artificial neural network modelling
(Elsevier Science, 2019-10)
In this work, the use of design of experiments and posterior data modelling by artificial neural network (ANN) and least squares (LS) is presented as a suitable analytical tool for the performance optimization of a tandem ...
Artificial neural networks to evaluate the boron concentration decreasing profile in Blood-BPA samples of BNCT patients
(Pergamon-Elsevier Science Ltd, 2011-12)
For the prediction of decay concentration profiles of the p-boronophenylalanine (BPA) in blood during BNCT treatment, a method is suggested based on Kohonen neural networks. The results of a model trained with the concentration ...
An artificial neural network (ANN) model for predicting water absorption of nanoclay-epoxy composites
(Scientific Research Publishing Inc., 2019-07)
Glass fiber reinforced epoxy (GFRE) composite materials are prone to suffer from water absorption due to their heterogeneous structure. The main process governing water absorption is diffusion of water molecules through ...