Soft-max circuit design with adjustable gain
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://digital-library.theiet.org/content/journals/10.1049/ip-cds_20050105?crawler=true&mimetype=application/pdf
Reference17 articles.
1. Bridle, J.S.: ‘Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition’, Fogleman Soulie, F., Herault, J., Neurocomputing: algorithms, architectures and applications, (Springer-Verlag 1990), p. 227–236
2. Lazzaro, J., Ryckebush, S., Mahowald, M.A., and Mead, C.A.: ‘Winner-take-all networks of O(n) complexity’. ‘Advances in Nerual Information Processing System NIPS 1’, (Morgan Kaufman, 1989), pp. 703–711
3. Cox, D.R., and Millar, H.D.: ‘The theory of stochastic process’, (Methuen 1965)
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