Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure.

Journal: Computational intelligence and neuroscience
Published Date: Aug 10, 2017

Abstract

The approach of InterCriteria Analysis (ICA) was applied for the aim of reducing the set of variables on the input of a neural network, taking into account the fact that their large number increases the number of neurons in the network, thus making them unusable for hardware implementation. Here, for the first time, with the help of the ICA method, correlations between triples of the input parameters for training of the neural networks were obtained. In this case, we use the approach of ICA for data preprocessing, which may yield reduction of the total time for training the neural networks, hence, the time for the network's processing of data and images.

Authors

  • Sotir Sotirov
    Laboratory of Intelligent Systems, University "Prof. Dr. Assen Zlatarov", 1 "Prof. Yakimov" Blvd., 8010 Burgas, Bulgaria.
  • Vassia Atanassova
    Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, 105 "Acad. G. Bonchev" Str., 1113 Sofia, Bulgaria.
  • Evdokia Sotirova
    Laboratory of Intelligent Systems, University "Prof. Dr. Assen Zlatarov", 1 "Prof. Yakimov" Blvd., 8010 Burgas, Bulgaria.
  • Lyubka Doukovska
    Department of Intelligent Systems, Institute of Information and Communication Technologies, 2 "Acad. G. Bonchev" Str., 1113 Sofia, Bulgaria.
  • Veselina Bureva
    Laboratory of Intelligent Systems, University "Prof. Dr. Assen Zlatarov", 1 "Prof. Yakimov" Blvd., 8010 Burgas, Bulgaria.
  • Deyan Mavrov
    Laboratory of Intelligent Systems, University "Prof. Dr. Assen Zlatarov", 1 "Prof. Yakimov" Blvd., 8010 Burgas, Bulgaria.
  • Jivko Tomov
    Laboratory of Intelligent Systems, University "Prof. Dr. Assen Zlatarov", 1 "Prof. Yakimov" Blvd., 8010 Burgas, Bulgaria.

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