Buscar
Mostrando ítems 31-40 de 4201
EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2013)
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 ...
Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
(Nonlinear Processes Geophysics, 2016)
New directions in model development for RF/microwave components utilizing artificial neural networks and space mapping
(IEEE AP-S Int. Symp. Digest, 1999-07)
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Classificação de imagens: um método de otimização de hiperparâmetros de configuração de redes neurais convolucionais
(Universidade do Vale do Rio dos Sinos, 2019-01-01)
The construction of an Artificial Neural Network model for image recognition requires a high degree of specialization and simulations to be able to configure all the parameters necessary for a good model performance. This ...
Classificação de imagens: um método de otimização de hiperparâmetros de configuração de redes neurais convolucionais
(Universidade do Vale do Rio dos Sinos, 2019-01-01)
The construction of an Artificial Neural Network model for image recognition requires a high degree of specialization and simulations to be able to configure all the parameters necessary for a good model performance. This ...