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A discontinuous recurrent neural network with predefined time convergence for solution of linear programming
(Institute of Electrical and Electronics Engineers, 2016)
Optimization of artificial neural network by genetic algorithm for describing viral production from uniform design data
(Elsevier B.V., 2016-03-01)
This work objective was to define a modeling approach based on genetic algorithm (GA) for optimizing parameters of an artificial neural network (ANN); the latter describes rabies virus production in BHK-21 cells based on ...
A Digital Memristor Emulator for FPGA-Based Artificial Neural Networks
(IEEE, 2016)
FPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural networks (ANNs). To this end, the compact hardware (HW) implementation of artificial synapses is an important step to obtain ...
Reviving traditional blast furnace models with new mathematical approach
(Maney PublishingLeedsInglaterra, 2007)
Design of fuzzy systems using neurofuzzy networks
(Ieee-inst Electrical Electronics Engineers IncNew YorkEUA, 1999)
A neural network approach for robust nonlinear parameter estimation in presence of unknown-but-bounded errors
(Elsevier B.V., 2000-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. This paper presents a ...