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Stephen Dando-Collins
| Part of a series on the |
| Evolutionary algorithm |
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| Genetic algorithm (GA) |
| Genetic programming (GP) |
| Differential evolution |
| Evolution strategy |
| Evolutionary programming |
| Related topics |
In computer science, genetic memory refers to an artificial neural network combination of genetic algorithm and the mathematical model of sparse distributed memory. It can be used to predict weather patterns.[1] Genetic memory and genetic algorithms have also gained an interest in the creation of artificial life.[2]
References
- ^ Rogers, David (1989). Touretzky, David S. (ed.). Advances in neural information processing systems: Weather prediction using a genetic memory. Los Altos, Calif: M. Kaufmann Publishers. pp. 455–464. ISBN 978-1-55860-100-0.
- ^ Rocha LM, Hordijk W (2005). "Material representations: From the genetic code to the evolution of cellular automata". Artificial Life. 11 (1–2): 189–214. CiteSeerX 10.1.1.115.6605. doi:10.1162/1064546053278964. PMID 15811227. S2CID 5742197.