| Autor: |
Blagoev, Ivan, Keremedchiev, Delyan, Zankinski, Iliyan |
| Rok vydání: |
2018 |
| Předmět: |
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| Popis: |
This research focuses on population based heuristic optimization used for artificial neural networks training. The goal is artificial neural networks to be used as computer opponent in games with perfect information. Artificial neural networks have many applications and one of them is in the game theory. For perfect information games with relatively small board, artificial neural networks can perform well. Training of artificial neural networks with population based heuristics has an advantage that calculations can be done in a distributed computing system, for example a mobile game which communicates with remote server. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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