Abstract
In this paper, we explore the potential of Evolvable Hardware (EHW) for online adaptation in real-time applications. We follow a top-down approach here. We first review existing adaptation and learning techniques and take a look at their suitability for driving hardware evolution. Then we discuss some research problems whose solution will improve the performance of EHW.
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© 1997 Springer-Verlag Berlin Heidelberg
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Manderick, B., Higuchi, T. (1997). Evolvable Hardware: An outlook. In: Higuchi, T., Iwata, M., Liu, W. (eds) Evolvable Systems: From Biology to Hardware. ICES 1996. Lecture Notes in Computer Science, vol 1259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63173-9_55
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DOI: https://doi.org/10.1007/3-540-63173-9_55
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