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 unde...Show MoreMetadata
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.
Published in: 2014 IEEE International Conference on Evolvable Systems
Date of Conference: 09-12 December 2014
Date Added to IEEE Xplore: 15 January 2015
Electronic ISBN:978-1-4799-4479-8
Department of Electronics, University of York, York, UK
Department of Electronics, University of York, York, UK
Department of Electronics, University of York, York, UK
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway
Durham University, Durham, Durham, GB
School of Engineering and Computing Sciences, Durham University, UK
Contents Department of Electronics, University of York, York, UK
Department of Electronics, University of York, York, UK
Department of Electronics, University of York, York, UK
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway
Durham University, Durham, Durham, GB
School of Engineering and Computing Sciences, Durham University, UK
