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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 ...
The influence of ARIMA-GARCH parameters in feed forward neural networks prediction
(SPRINGER, 2011)
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 ...
Using an artificial neural network (ANN) for prediction of thermal degradation from kinetics parameters of vegetable fibers
(2021-03-01)
Abstract: Vegetal fibers are prominent reinforcements for polymer composite materials, considering their properties and application possibilities. In particular, thermal degradation behavior is crucial for determining an ...
The Use of the Artificial Neural Network (ANN) for Modeling of Thermogravimetric Curves of Tobacco Stalk Waste Exposed to Alkaline Treatment
(Taylor & Francis Inc, 2022-04-06)
Tobacco is a rich source of cellulosic material and one of the most cultivated non-food plants in the world with great potential for incorporation in polymeric matrices. The use of tobacco residues as reinforcing filler ...
Aircraft interior failure pattern recognition utilizing text mining and neural networks
(Springer, 2012-06-01)
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 ...
BEHAVIOR ANALYSIS AND ARTIFICIAL NEURAL NETWORKSANÁLISIS CONDUCTUAL y REDES NEURALES ARTIFICIALES
(Sociedad Mexicana de Análisis de la Conducta / Mexican Society of Behavior Analysis, 2011)
Experimental and artificial neural network approach for prediction of dynamic mechanical behavior of sisal/glass hybrid composites
(2021-01-01)
The dynamic mechanical behavior (storage modulus, loss modulus, and tan δ) of hybrid sisal/glass composites was investigated in the temperature range of 30–210 °C, for two different volume percentages of reinforcement along ...
ARTIFICIAL NEURAL NETWORKS RESTRICTION FOR ROAD ACCIDENTS SEVERITY CLASSIFICATION IN UNBALANCED DATABASE
(Yildiz Technical Univ, 2019-09-01)
The objective of this study is to discuss the main constraints in classifying the severity of road accidents using Artificial Neural Networks (ANN). To achieve this, ANN modelling with Multiple Layers Perceptron (MPL) was ...