Computing Based on Material Training: Application to Binary Classification Problems

Evolution-in-materio is a form of unconventional computing combining materials' training and evolutionary search algorithms. In previous work, a mixture of single-walled-carbon-nanotubes (SWCNTs) dispersed in a liquid crystal (LC) was trained so that its morphology and electrical properties wer...

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Bibliographic Details

Published in:	2017 IEEE International Conference on Rebooting Computing (ICRC) pp. 1 - 8
Main Authors:	Vissol-Gaudin, E., Kotsialos, A., Groves, C., Pearson, C., Zeze, D. A., Petty, M. C.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2017
Subjects:	Complexity theory Current measurement Hardware Liquids Nanotubes Optimization Training
Online Access:	Get full text
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