From Wikipedia, the free encyclopedia

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

  1. ^ 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.
  2. ^ 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.


From Wikipedia, the free encyclopedia

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

  1. ^ 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.
  2. ^ 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.



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