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Sensitivity analysis by neural networks applied to power systems transient stability
(Elsevier B.V., 2007-05-01)
This work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer feedforward neural network. The neural network training is realized by ...
Development of a neural network model to predict distortion during the metal forming process by line heating
(2013-01)
In order to achieve automation of the plate forming process by line heating, it is necessary to know in advance the deformation to be obtained under specific heating conditions. Currently, different methods exist to predict ...
Productive capacity classification with heights of dominant trees estimated by ANNClassificação da capacidade produtiva com alturas de árvores dominantes estimadas por RNA
(Universidade Federal de Santa Maria, 2022)
Tracking Facial Expressions by Using Stereoscopy Video and Back Propagation Neural Network
(Kathmandu University Journal of Science, Engineering and Technology, 2013-01-16)
Sensitivity analysis by neural networks applied to power systems transient stability
(Elsevier B.V., 2007-05-01)
This work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer feedforward neural network. The neural network training is realized by ...
Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach
(Instituto de Investigaciones Agropecuarias, INIA, 2010)
Sensitivity analysis by neural networks applied to power systems transient stability
(Elsevier B.V., 2014)