Matthew Dale, Julian F. Miller, Susan Stepney, Martin A. Trefzer.
Evolving Carbon Nanotube Reservoir Computers.

UCNC 2016, Manchester, UK, July 2016, LNCS 9726:49–61. Springer, 2016


Reservoir Computing is a useful general theoretical model for many dynamical systems. Here we show the first steps to applying the reservoir model as a simple computational layer to extract exploitable information from physical substrates consisting of single-walled carbon nanotubes and polymer mixtures. We argue that many physical substrates can be represented and configured into working reservoirs given some pre-training through evolutionary selected input-output mappings and targeted input stimuli.

  author = "Matthew Dale and Julian F. Miller and Susan Stepney and Martin A. Trefzer",
  title = "Evolving Carbon Nanotube Reservoir Computers",
  pages = "49-61",          
  crossref = "UCNC-2016"

  title = "UCNC 2016, Manchester, UK, July 2016",
  booktitle = "UCNC 2016, Manchester, UK, July 2016",
  series = "LNCS",
  volume = 9726,
  publisher = "Springer",
  year = 2016