FPGA Neurocomputers

Amos Omondi; Jagath Rajapakse; Mariusz Bajger

doi:10.1007/0-387-28487-7_1

FPGA Neurocomputers

Amos Omondi, Jagath Rajapakse, Mariusz Bajger

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

35 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 language	English
Title of host publication	FPGA Implementations of Neural Networks
Editors	Amos R Omondi, Jagath C Rajapakse
Place of Publication	Boston, MA
Publisher	Springer
Chapter	1
Pages	1-36
Number of pages	36
ISBN (Electronic)	978-0-387-28487-3
ISBN (Print)	978-0-387-28485-9
DOIs	https://doi.org/10.1007/0-387-28487-7_1
Publication status	Published - 2006

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FPGA Neurocomputers

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