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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 ...
Electrical load forecasting formulation by a fast neural network
(C R L Publishing Ltd, 2003-03-01)
The objective of this work is to develop a methodology for electric load forecasting based on a neural network. Here, backpropagation algorithm is used with an adaptive process that based on fuzzy logic and using a decaying ...
Electrical load forecasting formulation by a fast neural network
(2003-03-01)
The objective of this work is to develop a methodology for electric load forecasting based on a neural network. Here, backpropagation algorithm is used with an adaptive process that based on fuzzy logic and using a decaying ...
Bio-inspired and gradient-based algorithms to train MLPs: The influence of diversity
(Elsevier Science IncNew YorkEUA, 2009)
Simple Auto-adaptive Neural Circuit For Control Of Human Gait: A Simulation Based On Back-propagation
(ASME, New York, NY, United States, 1994)
Baseline-free Damage Imaging Algorithm using Spatial Frequency Domain Virtual Time Reversal
(2021-01-01)
Structural health monitoring techniques are widely used in industry applications to guarantee the integrity of several types of components. This article proposes a baseline-free damage imaging algorithm based on Spatial ...
Wine classification by taste sensors made from ultra-thin films and using neural networks
(Elsevier B.V., 2004-03-01)
This paper reports on a sensor array able to distinguish tastes and used to classify red wines. The array comprises sensing units made from Langmuir-Blodgett (LB) films of conducting polymers and lipids and layer-by-layer ...