Dmitry Nikelshpur
Dmitry Nikelshpur
Pace University
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Zitiert von
Zitiert von
Using particle swarm optimization to pre-train artificial neural networks: selecting initial training weights for feed-forward back-propagation neural networks
D Nikelshpur, C Tappert
Proceedings of the Student-Faculty Research Day, CSIS, Pace University, New …, 2013
Achieving Consistent Near-Optimal Pattern Recognition Accuracy Using Particle Swarm Optimization to Pre-Train Artificial Neural Networks.
DO Nikelshpur
ProQuest LLC, 2014
A character recognition study using a biologically plausible neural network of the mammalian visual system
S Cheirdaris, D Nikelshpur, C Tappert, A Cipully, R Rodriguez, ...
Proceedings of the Michael L. Gargano 9th Annual Student/Faculty Research Day, 2011
The art of software estimation pattern language
D Nikelshpur
Proceedings of the 18th Conference on Pattern Languages of Programs, 1-11, 2011
The Black Art of Software Estimation Pattern Language
D Nikelshpur
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