FPGA Neurocomputers

Amos Omondi, Jagath Rajapakse, Mariusz Bajger

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    27 Citations (Scopus)

    Abstract

    This introductory chapter reviews the basics of artificial-neural-network theory, discusses various aspects of the hardware implementation of neural networks (in both ASIC and FPGA technologies, with a focus on special features of artificial neural networks), and concludes with a brief note on performance-evaluation. Special points are the exploitation of the parallelism inherent in neural networks and the appropriate implementation of arithmetic functions, especially the sigmoid function. With respect to the sigmoid function, the chapter includes a significant contribution.
    Original languageEnglish
    Title of host publicationFPGA Implementations of Neural Networks
    EditorsAmos R Omondi, Jagath C Rajapakse
    Place of PublicationBoston, MA
    PublisherSpringer
    Chapter1
    Pages1-36
    Number of pages36
    ISBN (Electronic)978-0-387-28487-3
    ISBN (Print)978-0-387-28485-9
    DOIs
    Publication statusPublished - 2006

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