Buscar
Mostrando ítems 1-10 de 1032
Electromagnetics-Based Design Using Artificial Neural Networks
(Dunken, 2006-07)
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 ...
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 ...
Development of an artificial neural network architecture using programmable logic
(Universidade do Vale do Rio dos Sinos, 2016-03-07)
Currently, modern Artificial Neural Networks (ANN), according to their complexity, require a workstation for processing all their input data. This type of processing architecture requires that the field device is located ...
Social-spider optimization-based artificial neural networks training and its applications for Parkinson's disease identification
(Ieee, 2014-01-01)
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 Prediction of the Trabecular Bone Mechanical Competence Parameter
(Springer, 2014-01-01)
The mechanical competence parameter (MCP) has been defined to grade the trabecular bone fragility based on the principal component analysis (PCA) evaluated in terms of volume fraction, connectivity, tortuosity and Young ...
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 ...
New directions in model development for RF/microwave components utilizing artificial neural networks and space mapping
(IEEE AP-S Int. Symp. Digest, 2014)