We are starting to develop a project and we have a lot of papers to read. To do a more efficient search, I am counting with others researcher to help me in the selection of the better papers and to complete my revision. Thanks.
You can start by reading Survives papers and can find many papers and studies are mentioned. It seems it is a nice topic. Good luck
Dear Marcelo,
this is a great question. The following articles are all fairly recent and have all appeared in the journal “Neural Networks“:
Deep Learning in neural networks: An overview
Volume 61, Issue , January 2015, Pages 85-117
Jürgen Schmidhuber
Trends in extreme learning machines: A review
Volume 61, Issue , January 2015, Pages 32-48
Gao Huang | Guang Bin Huang | Shiji Song | Keyou You
Essentials of the self-organizing map
Volume 37, Issue , January 2013, Pages 52-65
Teuvo Kohonen
Incremental learning for ν-Support Vector Regression
Volume 67, Issue , July 2015, Pages 140-150
Bin Gu | Victor S. Sheng | Zhijie Wang | Derek Ho | Said Osman | Shuo Li
Multi-column deep neural network for traffic sign classification
Volume 32, Issue , August 2012, Pages 333-338
Dan Cireşan | Ueli Meier | Jonathan Masci | Jürgen Schmidhuber
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Volume 32, Issue , August 2012, Pages 323-332
J. Stallkamp | M. Schlipsing | J. Salmen | C. Igel
Nonlinear dynamics and chaos in fractional-order neural networks
Volume 32, Issue , August 2012, Pages 245-256
Eva Kaslik | S. Sivasundaram Seenith
Yours sincerely,
Rainer
https://cs.stanford.edu/people/eroberts/courses/soco/projects/neural-networks/Applications/index.html
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