Commenced in January 2007
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Edition: International
Paper Count: 30174
Robust Artificial Neural Network Architectures

Authors: A. Schuster

Abstract:

Many artificial intelligence (AI) techniques are inspired by problem-solving strategies found in nature. Robustness is a key feature in many natural systems. This paper studies robustness in artificial neural networks (ANNs) and proposes several novel, nature inspired ANN architectures. The paper includes encouraging results from experimental studies on these networks showing increased robustness.

Keywords: robustness, robust artificial neural networks architectures.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078255

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[1] A.L. Barab'asi and E. Bonabeau, "Scale-free networks," Scientific American, vol. 288, pp. 55-59, May 2003.
[2] P. Bentley, "Investigations into graceful degradation of evolutionary developmental software," Natural Computing, vol. 4, pp. 417-437, 2005.
[3] H. Brighton and H. Selina, Introducing Artificial Intelligence. Icon Books UK, 2003.
[4] D. Dvorak, G. Bollella, T. Canham, V. Carson, V. Champlin, B. Giovannoni, M. Indictor, K. Meyer, A. Murray, and K. Reinholtz, "Project golden gate: Towards real-time Java in space missions," in Proc. 7th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC 2004), IEEE Computer Society, Vienna, Austria, 2004, pp. 15-22.
[5] B. Hayes, "Ode to the code," American Scientist, vol. 92, pp. 494-498, November-December 2004.
[6] M.N. Huhns and V.T. Holderfield, "Robust software," IEEE Internet Computing, vol. 6:2, pp. 80-82, March-April 2002.
[7] D. Jackson, "Dependable software by design," Scientific American, vol. 294, pp. 58-65, June 2006.
[8] G.A. Jones and M.J. Jones, Information and Coding Theory. Springer Verlag London, 2000.
[9] K. Mehrotra, C.K. Monan, S. and Ranka, Elements of Artificial Neural Networks. The MIT Press, 1997.
[10] R. Pfeifer, "Embodied artificial intelligence: trends and challenges," in Embodied Artificial Intelligence, Lecture Notes in Computer Science LNCS, vol. 3139, F. Iida, R. Pfeifer, L. Steels, and Y. Kuniyoshi, Eds. Springer-Verlag Berlin, Heidelberg, New York, 2003, pp. 1-26.
[11] A. Schuster, "A hybrid robot control system based on soft computing techniques," in Advances in Applied Artificial Intelligence, Lecture Notes in Artificial Intelligence LNAI, vol. 4031, A. Moonis and D. Richard Eds. Springer Verlag, Berlin, Heidelberg, New York, 2006, pp. 187-196.