University of Surrey

Test tubes in the lab Research in the ATI Dance Research

NEATfields: Evolution of neural fields for visual discrimination and multiple pole balancing tasks

Inden, B, Jin, Y, Haschke, R and Ritter, H (2010) NEATfields: Evolution of neural fields for visual discrimination and multiple pole balancing tasks In: Genetic and Evolutionary Computation Conference, 2010-07-07 - ?, Portland.

[img]
Preview
PDF
t08p333-inden.pdf
Available under License : See the attached licence file.

Download (138Kb)
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf

Download (32Kb)

Abstract

We have developed a novel extension of the NEAT neuroevolution method, termed NEATfields, to solve problems with large input and output spaces. NEATfields networks are layered into two-dimensional fields of identical or similar subnetworks with an arbitrary topology. The subnetworks are evolved with genetic operations similar to those used in the NEAT neuroevolution method. We show that information processing within the neural fields can be organized by providing suitable building blocks to evolution. NEATfields can solve a number of visual discrimination tasks and a newly introduced multiple pole balancing task.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Copyright 2010 The authors
Divisions: Faculty of Engineering and Physical Sciences > Computing Science
Depositing User: Symplectic Elements
Date Deposited: 22 Jun 2012 17:23
Last Modified: 23 Sep 2013 19:27
URI: http://epubs.surrey.ac.uk/id/eprint/532817

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800