Training Neural Networks for classification using the Extended Kalman Filter: A comparative study-Reference-Cited by-同舟云学术

Training Neural Networks for classification using the Extended Kalman Filter: A comparative study

Published:2014-04 Issue:2 Volume:23 Page:96-103
ISSN:1060-992X
Container-title:Optical Memory and Neural Networks
language:en
Short-container-title:Opt. Mem. Neural Networks

Author:

Chernodub A. N.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.3103/S1060992X14020088.pdf

Reference25 articles.

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2. Ciresan, D., Meier, U., Masci, J., and Schmidhuber, J., Multi-column deep neural network for traffic sign classification. Neural Networks, 2012, vol. 34, pp. 333–338.

3. Singhal, S. and Wu, L., Training multilayer perceptrons with the extended Kalman algorithm, Advances in Neural Information Processing Systems 1, Touretzky, D.S., Eds., San Mateo, CA: Morgan Kaufmann, 1989, pp. 133–140.

4. Haykin, S., Kalman Filtering and Neural Networks, John Wiley & Sons, 2001.

5. Arasaratnam, I. and Haykin, S., Nonlinear Bayesian filters for training recurrent neural networks, Proc. 7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27–31, 2008; Lecture Notes in Computer Science, 2008, vol. 5317, pp. 12–33.

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