Abstract
Up to this point we have analyzed in detail the computational properties of the analog recurrent neural network. From here on we turn to consider more general models of analog computation, and place our network within this wider framework.
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© 1999 Springer Science+Business Media New York
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Siegelmann, H.T. (1999). Generalized Processor Networks. In: Neural Networks and Analog Computation. Progress in Theoretical Computer Science. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0707-8_10
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DOI: https://doi.org/10.1007/978-1-4612-0707-8_10
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-6875-8
Online ISBN: 978-1-4612-0707-8
eBook Packages: Springer Book Archive