Treatment of missing data using neural networks and genetic algorithms

  title={Treatment of missing data using neural networks and genetic algorithms},
  author={Mussa Abdella and Tshilidzi Marwala},
  journal={Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.},
  pages={598-603 vol. 1}
This paper introduces a method aimed at approximating missing data in a database using a combination of genetic algorithms and neural networks. The proposed method uses genetic algorithm to minimise an error function derived from an auto-associative neural network. An investigation on using the proposed method to accurately approximate missing data as the number of missing cases within a single record increases is conducted. Multi layer perceptron (MLP) and radial basis function (RBF) neural… CONTINUE READING
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