Modified generalized neo-fuzzy system with combined online fast learning in medical diagnostic task for situations of information deficit
In the paper, we propose the modified generalized neo-fuzzy system. It is designed to solve the pattern-image recognition task by working with data that are fed to the system in the image form. The neo-fuzzy system can work with small training datasets, where classes can overlap in a features space....
Main Authors: | Yevgeniy Bodyanskiy, Olha Chala, Natalia Kasatkina, Iryna Pliss |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-05-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022374?viewType=HTML |
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