Morgado-Dias
TitleCited byYear
Artificial neural networks: a review of commercial hardware
FM Dias, A Antunes, AM Mota
Engineering Applications of Artificial Intelligence 17 (8), 945-952, 2004
1422004
Neuro-fuzzy systems: a survey
J Vieira, FM Dias, A Mota
5th WSEAS NNA international conference on neural networks and applications …, 2004
1222004
Economic feasibility analysis of small scale PV systems in different countries
FMD Sandy Rodrigues, , Roham Torabikalaki, Fábio Faria, Nuno Cafôfo, Xiaoju ...
Solar Energy 131, 81-95, 2016
942016
Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study
J Vieira, FM Dias, A Mota
Engineering Applications of Artificial Intelligence 17 (3), 265-273, 2004
912004
A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function
P Ferreira, P Ribeiro, A Antunes, FM Dias
Neurocomputing 71 (1-3), 71-77, 2007
732007
Artificial neural networks
M Dias
On-line 1 (2), 47-54, 2010
63*2010
Comparison between different control strategies using neural networks
FM Dias, AM Mota
9th Mediterranean Conference on Control and Automation, Dubrovnik, Croatia, 1-12, 2001
362001
Economic analysis of photovoltaic systems for the residential market under China's new regulation
S Rodrigues, X Chen, F Morgado-Dias
Energy Policy 101, 467-472, 2017
302017
A survey of artificial neural network training tools
D Baptista, F Morgado-Dias
Neural Computing and Applications 23 (3-4), 609-615, 2013
302013
A sliding window solution for the on-line implementation of the Levenberg–Marquardt algorithm
FM Dias, A Antunes, J Vieira, A Mota
Engineering Applications of Artificial Intelligence 19 (1), 1-7, 2006
302006
Artificial neural networks processor–a hardware implementation using a fpga
P Ferreira, P Ribeiro, A Antunes, FM Dias
International Conference on Field Programmable Logic and Applications, 1084-1086, 2004
302004
Implementing the levenberg-marquardt algorithm on-line: A sliding window approach with early stopping
FM Dias, A Antunes, J Vieira, AM Mota
IFAC Proceedings Volumes 37 (16), 49-54, 2004
262004
Fault tolerance of artificial neural networks: an open discussion for a global model
FM Dias, A Antunes
International Journal of Circuits, Systems and Signal Processing, 329-333, 2008
232008
Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks
D Baptista, F Morgado-Dias
Neural Computing and Applications 23 (3-4), 601-607, 2013
182013
Direct inverse control of a kiln
FM Dias, AM Mota
Proceedings of the 4th Portuguese Conference on Automatic Control, 2000
182000
A survey of software and hardware use in artificial neural networks
D Baptista, S Abreu, F Freitas, R Vasconcelos, F Morgado-Dias
Neural Computing and Applications 23 (3-4), 591-599, 2013
172013
Automatic general-purpose neural hardware generator
FD Baptista, F Morgado-Dias
Neural Computing and Applications 28 (1), 25-36, 2017
162017
A new solution to the hyperbolic tangent implementation in hardware: polynomial modeling of the fractional exponential part
I Nascimento, R Jardim, F Morgado-Dias
Neural Computing and Applications 23 (2), 363-369, 2013
162013
Fault Tolerance improvement through architecture change in Artificial Neural Networks
FM Dias, A Antunes
International Symposium on Intelligence Computation and Applications, 248-257, 2008
142008
Hardware implementation of an artificial neural network model to predict the energy production of a photovoltaic system
D Baptista, S Abreu, C Travieso-Gonzalez, F Morgado-Dias
Microprocessors and Microsystems 49, 77-86, 2017
132017
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Articles 1–20