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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25823

Title: Neural networks in FPGAs
Authors: Omondi, Amos R
Rajapakse, Jagath C
Keywords: Neural nets
Parallel architectures
Issue Date: 2002
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Omondi, A. and Rajapakse, J. 2002. Neural networks in FPGAs. Proceedings of the 9th International Conference on Neural Information Processing (ICONIP), vol. 2, 954-959.
Abstract: As FPGAs have increasingly become denser and faster, they are being utilized for many applications, including the implementation of neural networks. Ideally, FPGA implementations, being directly in hardware and having parallelism, will have performance advantages over software on conventional machines. But there is a great deal to be done to make the most of FPGAs and to prove their worth in implementing neural networks, especially in view of past failures in the implementation of neurocomputers. This paper looks at some of the relevant issues.
URI: http://hdl.handle.net/2328/25823
ISBN: 9810475241
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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