Catherine D. Schuman and J. Douglas Birdwell

June, 2013

Biologically Inspired Cognitive Architectures, Volume 6.

http://www.sciencedirect.com/science/journal/2212683X/6/supp/C

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Abstract

We introduce a discrete-event artificial neural network structure inspired by biological neural networks. It includes dynamic components and has variable structure. The network’s topology and its dynamic components are modifiable and trainable for different applications. Such adaptation in the network’s parameters, structure, and dynamic components makes it easier to adapt to varying behaviors due to the problem’s structure than other types of networks. We demonstrate that this type of network structure can detect random changes in packet arrival rates in computer network traffic with possible applications in cyber security.

Citation Information

Text

author     C. D. Schuman and J. D. Birdwell
title      Variable Structure Dynamic Artificial Neural Networks
journal    Biologically Inspired Cognitive Architectures
volume     6
pages      126-130
publisher  Elsevier
month      October
year       2013
doi        10.1016/j.bica.2013.05.001
where      http://www.sciencedirect.com/science/article/pii/S2212683X13000364

Bibtex

@ARTICLE{sb:13:vsd,
  author = "C. D. Schuman and J. D. Birdwell",
  title = "Variable Structure Dynamic Artificial Neural Networks",
  journal = "Biologically Inspired Cognitive Architectures",
  volume = "6",
  pages = "126-130",
  publisher = "Elsevier",
  month = "October",
  year = "2013",
  doi = "10.1016/j.bica.2013.05.001",
  where = "http://www.sciencedirect.com/science/article/pii/S2212683X13000364"
}