Implementing Size-Optimal Discrete Neural Networks Requires Analog Circuitry

Valeriu Beiu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper starts by overviewing results dealing with the approximation capabilities of neural networks, as well as bounds on the size of threshold gate circuits. Based on a constructive solution for Kolmogorov`s superpositions the authors show that implementing Boolean functions can be done using neurons having an identity transfer function. Because in this case the size of the network is minimized, it follows that size-optimal solutions for implementing Boolean functions can be obtained using analog circuitry. Conclusions and several comments on the required precision are ending the paper.
    Original languageEnglish
    Title of host publicationEuropean Signal Processing Conference
    DOIs
    Publication statusPublished - Sep 8 1998
    EventEuSiPCo'98 - Island of Rhodes, Greece
    Duration: Sep 8 1998 → …

    Conference

    ConferenceEuSiPCo'98
    Period9/8/98 → …

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