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Selection of artificial neural network models for survival analysis with Genetic Algorithms

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  • Ambrogi, Federico
  • Lama, Nicola
  • Boracchi, Patrizia
  • Biganzoli, Elia

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  • Ambrogi, Federico & Lama, Nicola & Boracchi, Patrizia & Biganzoli, Elia, 2007. "Selection of artificial neural network models for survival analysis with Genetic Algorithms," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 30-42, September.
  • Handle: RePEc:eee:csdana:v:52:y:2007:i:1:p:30-42
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    References listed on IDEAS

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    1. Chatterjee, Sangit & Laudato, Matthew & Lynch, Lucy A., 1996. "Genetic algorithms and their statistical applications: an introduction," Computational Statistics & Data Analysis, Elsevier, vol. 22(6), pages 633-651, October.
    2. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
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    Cited by:

    1. Gilli, Manfred & Winker, Peter, 2007. "2nd Special Issue on Applications of Optimization Heuristics to Estimation and Modelling Problems," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 2-3, September.
    2. Reynès, Christelle & Sabatier, Robert & Molinari, Nicolas & Lehmann, Sylvain, 2008. "A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4380-4394, May.

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