Deep Hybrid System of Computational Intelligence with Architecture Adaptation for Medical Fuzzy Diagnostics

@article{Perova2017DeepHS,
  title={Deep Hybrid System of Computational Intelligence with Architecture Adaptation for Medical Fuzzy Diagnostics},
  author={Iryna Perova and Iryna Pliss},
  journal={International Journal of Intelligent Systems and Applications},
  year={2017},
  volume={9},
  pages={12-21}
}
  • I. Perova, I. Pliss
  • Published 8 July 2017
  • Computer Science
  • International Journal of Intelligent Systems and Applications
In the paper the deep hybrid system of computational intelligence with architecture adaptation for medical fuzzy diagnostics is proposed. This system allows to increase a quality of medical information processing under the condition of overlapping classes due to special adaptive architecture and training algorithms. The deep hybrid system under consideration can tune its architecture in situation when number of features and diagnoses can be variable. The special algorithms for its training are… 
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