Evolution strategies for evolving artificial neural networks in an arcade game

The aim of this paper is to use a simple but powerful evolutionary algorithm called Evolution Strategies (ES) to evolve the connection weights and biases of feed-forward artificial neural networks (ANN) and to examine its learning ability through computational experiments in a non-deterministic and...

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Bibliographic Details

Main Authors:	Tse, Guan Tan, Teo, Jason, Anthony, Patricia
Format:	Conference or Workshop Item
Language:	en
Published:	2010
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://repo.uum.edu.my/id/eprint/11255/1/PG697_700.pdf https://repo.uum.edu.my/id/eprint/11255/ http://www.kmice.uum.edu.my
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