Now showing items 1-10 of 203
Artificial neural networks and clustering techniques applied in the reconfiguration of distribution systems
(Institute of Electrical and Electronics Engineers (IEEE), 2006-07-01)
One objective of the feeder reconfiguration problem in distribution systems is to minimize the power losses for a specific load. For this problem, mathematical modeling is a nonlinear mixed integer problem that is generally ...
Neural network for fractal dimension evolution
(Iwa Publishing, 2018-08-01)
The coagulation/flocculation process is an essential step in drinking water treatment. The process of formation, growth, breakage and rearrangement of the formed aggregates is key to enhancing the understanding of the ...
Phenol biodegradation by a microbial consortium: application of artificial neural network (ANN) modelling
(TAYLOR & FRANCIS LTDABINGDON, 2013-08-02)
In this study, an effective microbial consortium for the biodegradation of phenol was grown under different operational conditions, and the effects of phosphate concentration (1.4 g L-1, 2.8 g L-1, 4.2 g L-1), temperature ...
The influence of ARIMA-GARCH parameters in feed forward neural networks prediction
The objective of this article is to find out the influence of the parameters of the ARIMA-GARCH models in the prediction of artificial neural networks (ANN) of the feed forward type, trained with the Levenberg-Marquardt ...
Artificial Neural Network applied as a methodology of mosquito species identification
(Elsevier B.V., 2015-12-01)
There are about 200 species of mosquitoes (Culicidae) known to be vectors of pathogens that cause diseases in humans. Correct identification of mosquito species is an essential step in the development of effective control ...
BEHAVIOR ANALYSIS AND ARTIFICIAL NEURAL NETWORKSANÁLISIS CONDUCTUAL y REDES NEURALES ARTIFICIALES
(Sociedad Mexicana de Análisis de la Conducta / Mexican Society of Behavior Analysis, 2011)
Optimization of artificial neural network by genetic algorithm for describing viral production from uniform design data
(Elsevier B.V., 2016-03-01)
This work objective was to define a modeling approach based on genetic algorithm (GA) for optimizing parameters of an artificial neural network (ANN); the latter describes rabies virus production in BHK-21 cells based on ...
Aircraft interior failure pattern recognition utilizing text mining and neural networks
Being more competitive is routine in the aeronautical sector. Airline competitiveness is affected by such factors as time, price, reliability, availability, safety, technology, quality, and information management. To remain ...
Investigating Prediction Performance of an Artificial Neural Network and a Numerical Model of the Tidal Signal at Puerto Belgrano, Bahia Blanca Estuary (Argentina)
(De Gruyter, 2013-12)
In the present study we compare performances of the prediction of hourly tidal level variations at Puerto Belgrano, a coastal site in the Bahia Blanca Estuary (Argentina), by means of the MOHID model, which is a numerical ...