14 citations · 29 across the 3 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
cs.NE2015★ 14 cited
Adapting Resilient Propagation for Deep Learning
Alan Mosca, George D. Magoulas
The Resilient Propagation (Rprop) algorithm has been very popular for backpropagation training of multilayer feed-forward neural networks in various applications. The standard Rpro…
cs.NE2015★ 9 cited
Transfer learning approach for financial applications
Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas
Artificial neural networks learn how to solve new problems through a computationally intense and time consuming process. One way to reduce the amount of time required is to inject…