<p>This report explores continuous-time recurrent neural networks (CTRNNs) and their utility in the field of adaptive robotics. The networks herein are evolved in a simulated environment and evaluated on a real robot. The evolved CTRNNs are presented with simple cognitive tasks and the results are analyzed in detail.</p>
Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:ntnu-9861 |
Date | January 2009 |
Creators | Fjær, Dag Henrik, Massali, Kjeld Karim Berg |
Publisher | Norwegian University of Science and Technology, Department of Computer and Information Science, Norwegian University of Science and Technology, Department of Computer and Information Science, Institutt for datateknikk og informasjonsvitenskap |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, text |
Page generated in 0.0022 seconds