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EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2003-06)
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, ...
Electric load forecasting using a fuzzy ART&ARTMAP neural network
(Elsevier B.V., 2005-01-01)
This work presents a neural network based on the ART architecture ( adaptive resonance theory), named fuzzy ART& ARTMAP neural network, applied to the electric load-forecasting problem. The neural networks based on the ...
Electric load forecasting using a fuzzy ART&ARTMAP neural network
(Elsevier B.V., 2005-01-01)
This work presents a neural network based on the ART architecture ( adaptive resonance theory), named fuzzy ART& ARTMAP neural network, applied to the electric load-forecasting problem. The neural networks based on the ...
Development of neurofuzzy architecture for solving the N-Queens problem
(Taylor & Francis Ltd, 2005-11-01)
Neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent ...
Multidimensional Polynomial Powers of Sigmoid (PPS) wavelet neural networks
(2008-11-13)
Wavelet functions have been used as the activation function in feedforward neural networks. An abundance of R&D has been produced on wavelet neural network area. Some successful algorithms and applications in wavelet neural ...
Multidimensional polynomial powers of sigmoid (PPS) Wavelet neural networks
(Insticc-inst Syst Technologies Information Control & Communication, 2008-01-01)
Wavelet functions have been used as the activation function in feedforward neural networks. An abundance of R&D has been produced on wavelet neural network area. Some successful algorithms and applications in wavelet neural ...