Buscar
Mostrando ítems 11-20 de 259
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 ...
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 ...
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 ...
Wind power forecast using neural networks: Tuning with optimization techniques and error analysis
(2020-03-01)
The increased integration of wind power into the power system implies many challenges to the network operators, mainly due to the hard to predict and variability of wind power generation. Thus, an accurate wind power ...
Performance of a Fuzzy ARTMAP Artificial Neural Network in Characterizing the Wave Regime at the Port of Sines (Portugal)
(2016-11-01)
Santos, F.L.; Reis, M.T.; Fortes, C.J.E.M.; Lotufo, A.D.; Neves, D.R.C.B.; Poseiro, P., and Maciel, G.F., 2016. Performance of a fuzzy ARTMAP artificial neural network in characterizing the wave regime at the Port of Sines ...
Robust Design of Artificial Neural Networks Methodology in Neutron Spectrometry
(IntechOpen, 2013-01)
Applications of artificial neural networks (ANNs) have been reported in literature in various
areas. [1–5] The wide use of ANNs is due to their robustness, fault tolerant and the ability
to learn and generalize, through ...
Transmission lines distance protection using artificial neural networks
(ELSEVIER SCI LTD, 2011)
This work presents the development and implementation of an artificial neural network based algorithm for transmission lines distance protection. This algorithm was developed to be used in any transmission line regardless ...
Artificial neural networks for load flow and external equivalents studies
(Elsevier B.V. Sa, 2010-09-01)
In this paper an artificial neural network (ANN) based methodology is proposed for (a) solving the basic load flow, (b) solving the load flow considering the reactive power limits of generation (PV) buses, (c) determining ...
Experimental and artificial neural network approach for prediction of the thermal degradation behavior of sugarcane-based vulcanization additives in natural rubber compounds
(2021-12-01)
The use of natural additives in elastomeric compounds is gaining the special attention of researchers and industry due to their potential applications as environmentally friendly compounds and lower cost-related. Another ...