Rough Neurons: Petri Net Models and Applications-Reference-Cited by-同舟云学术

Rough Neurons: Petri Net Models and Applications

Published:2004 Issue: Volume: Page:471-489
ISSN:1611-2482
Container-title:Rough-Neural Computing
language:
Short-container-title:

Author:

Peters James F.,Ramanna Sheela,Suraj Zbigniew,Borkowski Maciej

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-18859-6_18

Reference44 articles.

1. M.A. Arbib. The artificial neuron. In E. Fiesler, R. Beale, editorsHandbook of Neural ComputationB 1.7, Institute of Physics, Bristol, 1997.

2. I.M. Bochenski. AHistory of Formal Logic. Chelsea, New York, 1956.

3. B. Chakraborty. Feature subset selection by neuro-rough hybridization. In W. Ziarko, Y. Yao, editorsProceedings of the Second International Conference on Rough Sets and Current Trends in Computing (RSCTC 2000)LNAI 2005, 519–526, Springer, Berlin, 2001.

4. D.L. Dill.Trace Theory for Automatic Hierarchical Verification of Speed-Independent Circuits.MIT Press, Cambridge MA, 1989.

5. Bonabeau et al.Swarm Intelligence: From Natural to Artificial Systems.Oxford University Press, Oxford, 2000.

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