Low-cost ANN system based on TDM approach

Darniel Young, Lee Ming Cheng

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    A general purpose low cost hardware ANN system has been built. The hardware is based on MD1220 Neural Bit Slice and PC/AT is used as the host computer for testing. Each MD12201 contains 8 binary neurons. In order to improve its connectivity and flexibility, Time Division Multiplexing (TDM) is used. This approach can allow network reconfiguration for different architectures by simply changing the firmware instead of modifying the hardware. Here, back propagation learning paradigm2 is selected for evaluating the system and a primitive OCR application was designed to test its functionality and feasibility. The results of this work are reported which indicate the implementation of neural network architectures using a conventional computer such as in the assembly code of 80286 may require 24 times more clock cycle than MD1220 assuming that the same clock (20MHz) is used. Further analysis also indicates that the TDM approach will be a low cost and effective way of implementing the hardware ANN system. This is especially important for embedded controller application.
    Original languageEnglish
    Title of host publicationMidwest Symposium on Circuits and Systems
    PublisherIEEE
    Pages1185-1188
    Volume2
    ISBN (Print)780317610
    Publication statusPublished - 1993
    EventProceedings of the 36th Midwest Symposium on Circuits and Systems - Detroit, MI, USA
    Duration: 16 Aug 199318 Aug 1993

    Publication series

    Name
    Volume2

    Conference

    ConferenceProceedings of the 36th Midwest Symposium on Circuits and Systems
    CityDetroit, MI, USA
    Period16/08/9318/08/93

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