Now showing items 1-10 of 575
EM-based optimization of microwave circuits using artificial neural networks: the state of the art
(IEEE Trans. Microwave Theory Tech.;52, 2004-01)
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 ...
Social-spider optimization-based artificial neural networks training and its applications for Parkinson's disease identification
Evolutionary algorithms have been widely used for Artificial Neural Networks (ANN) training, being the idea to update the neurons' weights using social dynamics of living organisms in order to decrease the classification ...
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 ...
Determination of resonant frequencies of triangular and rectangular microstrip antennas, using artificial neural networks
This paper presents models that can be used in the design of microstrip antennas for mobile communications. The antennas can be triangular or rectangular. The presented models are compared with deterministic and empirical ...
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 ...
ANN statistical image recognition method for computer vision in agricultural mobile robot navigation
The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory ...
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 ...
Realizations of Space Mapping based neuromodels of microwave components
(AP2000 Millennium Conf. on Antennas & Propagation, 2000-04)