Evolving neural networks with genetic algorithms to study the string landscape
Abstract We study possible applications of artificial neural networks to examine the string landscape. Since the field of application is rather versatile, we propose to dynamically evolve these networks via genetic algorithms. This means that we start from basic building blocks and combine them such...
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| Format: | Article |
| Language: | English |
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Springer
2017-08-01
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| Series: | Journal of High Energy Physics |
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| Online Access: | http://link.springer.com/article/10.1007/JHEP08(2017)038 |