Abstract
This paper describes recent progress and attempts to analyse a weightless neural network (WNN), known as the Deterministic Adaptive RAM Network(DARN). We obtained a reasonable classification accuracy on a variety of problems with this WNN. We also present a comparison with the WISARD Discriminator. In this paper we also analyse the storage capacity of the DARN and compare it with that of the Discriminator. This shows that the DARN has good potential for use in intelligent embedded systems applications.
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© 2004 Springer-Verlag Berlin Heidelberg
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Yee, P., Coghill, G. (2004). Weightless Neural Networks: A Comparison Between the Discriminator and the Deterministic Adaptive RAM Network. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_41
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DOI: https://doi.org/10.1007/978-3-540-30133-2_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23206-3
Online ISBN: 978-3-540-30133-2
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