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Neuro Fuzzy Approach to Pattern Recognition.

Jayati Ghoshal1, Kumar S. Ray

  • 1Indian Statistical Institute, Calcutta 700 035, India

Neural Networks : the Official Journal of the International Neural Network Society
|January 1, 1997
PubMed
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This study introduces a novel fuzzy reasoning approach for pattern recognition, utilizing a neural network trained with fuzzy linguistic statements. The method effectively classifies non-fuzzy features, demonstrating success in vowel recognition tasks.

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Pattern Recognition

Background:

  • Pattern recognition problems often involve complex, multi-dimensional data.
  • Fuzzy reasoning offers a framework for handling uncertainty and linguistic information.
  • Neural networks provide powerful tools for learning and classification tasks.

Purpose of the Study:

  • To develop a new interpretation of multi-dimensional fuzzy reasoning.
  • To implement this interpretation using a backpropagation neural network.
  • To apply the developed scheme to pattern classification, specifically vowel recognition.

Main Methods:

  • A novel interpretation of multi-dimensional fuzzy reasoning was proposed.
  • A backpropagation-type neural network was employed for implementation.

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  • Fuzzy linguistic statements were used during the neural network's learning phase.
  • Fuzzy singleton concepts were utilized for classifying non-fuzzy features.

    • Main Results:

    • The proposed scheme demonstrated effective classification of non-fuzzy pattern features after learning.
    • Performance was validated using synthetic data.
    • The method was successfully applied to the vowel recognition problem in three Indian languages.

    Conclusions:

    • The new interpretation of fuzzy reasoning, realized through a neural network, provides a viable approach for pattern recognition.
    • The scheme is capable of classifying non-fuzzy features using fuzzy singletons.
    • The successful application to vowel recognition highlights its practical utility.