Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of York
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Article title
Fast learning neural networks using Cartesian genetic programming
Type
D - Journal article
Title of journal
Neurocomputing
Article number
-
Volume number
121
Issue number
-
First page of article
274
ISSN of journal
0925-2312
Year of publication
2013
Number of additional authors
3
Additional information
This work advances the evolution of artificial neural networks. In collaboration with University of Engineering Technology in Peshawar, Pakistan, the work is the first journal publication on the evolution of artificial neural networks using Cartesian Genetic programming. Development of this work by a PhD student won best student paper at International Conference on Artificial Intelligence, Cambridge, 2013.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Intelligent Systems
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-