Classification of escherichia coli bacteria by artificial neural networks

AVCI M., YILDIRIM T.

1st International IEEE Symposium on Intelligent Systems, Varna, Bulgaria, 10 - 12 September 2002, pp.13-16 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/is.2002.1042578
  • City: Varna
  • Country: Bulgaria
  • Page Numbers: pp.13-16
  • Yıldız Technical University Affiliated: Yes

Abstract

Through this paper, four different neural network structure which are multi layer perceptron, radial basis function, general regression neural network and probabilistic neural network were applied to the escherichia coli bacteria benchmark and most efficient neural network architecture for this data has been obtained. Better classification accuracy than the reference work using ad hoc structured probability model was achieved by probabilistic neural network.