Abstract
This paper presents ail nniiol.at.cd overview of existing hard- ware implement at ions of artificial neural and fuzzy systems arid points out limitations, advantages and drawbacks of analog, digital , pulse stream (spiking) and other techniques. The paper also analyzes hardware performance parameters and tradeoffs, and the bottlenecks intrinsic in several implementation methodologies. © Springer-Verlag Berlin Heidelberg 2001.
Cite
CITATION STYLE
Reyneri, L. M. (2001). Design and codesign of neuro-fuzzy hardware. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2085 LNCS, pp. 14–30). Springer Verlag. https://doi.org/10.1007/3-540-45723-2_2
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