Title :
Evolution-in-materio: A frequency classifier using materials
Author :
Mohid, Maktuba ; Miller, Julian Francis ; Harding, Simon L. ; Tufte, Gunnar ; Lykkebo, Odd Rune ; Massey, Mark Kieran ; Petty, Michael C.
Author_Institution :
Dept. of Electron., Univ. of York, York, UK
Abstract :
Evolution-in-materio (EIM) is a method that uses artificial evolution to exploit properties of materials to solve computational problems without requiring a detailed understanding of such properties. In this paper, we describe experiments using a purpose-built EIM platform called Mecobo to classify whether an applied square wave signal is above or below a user-defined threshold. This is the first demonstration that electrical configurations of materials (carbon nanotubes and a polymer) can be evolved to act as frequency classifiers.
Keywords :
carbon nanotubes; polymers; signal classification; Mecobo; applied square wave signal classification; artificial evolution; carbon nanotubes; computational problems; electrical configurations; evolution-in-materio; frequency classifiers; polymer; purpose-built EIM platform; Arrays; Electrodes; Field programmable gate arrays; Hardware; Materials; Time-frequency analysis; Voltage measurement;
Conference_Titel :
Evolvable Systems (ICES), 2014 IEEE International Conference on
Conference_Location :
Orlando, FL
DOI :
10.1109/ICES.2014.7008721
