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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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2010
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| Subjects: | |
| 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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