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A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...
A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...
Estimation of electrical machine speed using sensorless technology and neural networks
(2008-12-01)
The use of sensorless technologies is an increasing tendency on industrial drivers for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is used very ...
An adaptive system based on artificial neural networks for NPK fluid fertilizer application
(Elsevier B.V., 2000-01-01)
The application process of fluid fertilizers through variable rates implemented by classical techniques with feedback and conventional equipments can be inefficient or unstable. This paper proposes an open-loop control ...
An adaptive system based on artificial neural networks for NPK fluid fertilizer application
(Elsevier B.V., 2000-01-01)
The application process of fluid fertilizers through variable rates implemented by classical techniques with feedback and conventional equipments can be inefficient or unstable. This paper proposes an open-loop control ...
Dynamic and recursive oil-reservoir proxy using Elman neural networks
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this work, a reservoir simulation approximation model (proxy) based on recurrent artificial neural networks is proposed. This model is intended to obtain rates of oil, gas and water production at time t+1 from the ...