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A G Parlos

Showing results (1-10 of 6) with videos related to

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IEEE Transactions on Neural Networks|January 1, 1994
Fuzzy logic and neural networks: clips from the fieldA G Parlos
IEEE Transactions on Neural Networks|February 6, 2008
New results on recurrent network training: unifying the algorithms and accelerating convergenceA F Atiya, A G Parlos
IEEE Transactions on Neural Networks|February 6, 2008
An algorithmic approach to adaptive state filtering using recurrent neural networksA G Parlos, S K Menon, A Atiya
Neural Networks : the Official Journal of the International Neural Network Society|January 11, 2001
Multi-step-ahead prediction using dynamic recurrent neural networksA G Parlos, O T Rais, A F Atiya
IEEE Transactions on Neural Networks|January 1, 1994
Application of the recurrent multilayer perceptron in modeling complex process dynamicsA G Parlos, K T Chong, A F Atiya
IEEE Transactions on Neural Networks|January 1, 1994
An accelerated learning algorithm for multilayer perceptron networksA G Parlos, B Fernandez, A F Atiya, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|January 1, 1994
Fuzzy logic and neural networks: clips from the fieldA G Parlos
IEEE Transactions on Neural Networks|February 6, 2008
New results on recurrent network training: unifying the algorithms and accelerating convergenceA F Atiya, A G Parlos
IEEE Transactions on Neural Networks|February 6, 2008
An algorithmic approach to adaptive state filtering using recurrent neural networksA G Parlos, S K Menon, A Atiya
Neural Networks : the Official Journal of the International Neural Network Society|January 11, 2001
Multi-step-ahead prediction using dynamic recurrent neural networksA G Parlos, O T Rais, A F Atiya
IEEE Transactions on Neural Networks|January 1, 1994
Application of the recurrent multilayer perceptron in modeling complex process dynamicsA G Parlos, K T Chong, A F Atiya
IEEE Transactions on Neural Networks|January 1, 1994
An accelerated learning algorithm for multilayer perceptron networksA G Parlos, B Fernandez, A F Atiya, et al.
Pageof 1