BibTeX
@MISC{_perspectiveson,
author = {},
title = {Perspectives on dedicated hardware implementations.},
year = {}
}
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Abstract
Abstract. Algorithms, applications and hardware implementations of neural networks are not investigated in close connection. Researchers working in the development of dedicated hardware implementations de-velop simplied versions of otherwise complex neural algorithms or de-velop dedicated algorithms: usually these algorithms have not been thor-oughly tested on real-world applications. At the same time, many theo-retically sound algorithms are not feasible in dedicated hardware, there-fore limiting their success only to applications where a software solution on a general-purpose system is feasible. The paper focuses on the is-sues related to the hardware implementation of neural algorithms and architectures and their successful application to real world-problems. 1
