Cartesian Genetic Programming - Research Database, The University of York

By the same authors

A substrate-independent framework to characterize reservoir computers
Dale, M., Miller, J. F., Stepney, S. & Trefzer, M. A., 19 Jun 2019
Article in Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences
A Substrate-Independent Framework to Characterise Reservoir Computers
Dale, M., Miller, J. F., Stepney, S. & Trefzer, M. A., 19 Jun 2019
Article in Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
A Substrate-Independent Framework to Characterise Reservoir Computers
Dale, M., Miller, J. F., Stepney, S. & Trefzer, M. A., 16 Oct 2018, arXiv, 19 p.
Research output: Working paper
Reservoir Computing as a model for in materio computing
Dale, M. N., Miller, J. F. & Stepney, S., 2017, Advances in Unconventional Computing. Adamatsky, A. (ed.). Springer, Vol. 1. p. 533-571
Research output: Chapter in Book/Report/Conference proceeding › Chapter
Reservoir Computing in materio with LEDs
Dale, M. N., Miller, J. F., Stepney, S. & Trefzer, M. A., 2017.
Research output: Contribution to conference › Paper

Cartesian Genetic Programming

Research output: Book/Report › Book

Links

http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7

Author(s)

Julian Francis Miller (Editor)

Department/unit(s)

Electronic Engineering

Publication details

Date	Published - 17 Sep 2011
Number of pages	344
Publisher	SPRINGER-VERLAG BERLIN
Original language	English
ISBN (Print)	3642173098

Publication series

Name	Natural Computing

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