Design of double fuzzy clustering-driven context neural networks-Reference-Cited by-同舟云学术

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Design of double fuzzy clustering-driven context neural networks

Published:2018-08 Issue: Volume:104 Page:1-14
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Kim Eun-Hu,Oh Sung-Kwun,Pedrycz Witold

Funder

Ministry of Education

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference33 articles.

1. A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems;Alcala;IEEE Transactions on Fuzzy Systems,2009

2. A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems;Alcala;IEEE Transactions on Fuzzy Systems,2011

3. Pattern recognition with fuzzy objective function algorithms;Bezdek,1981

4. FCM: The fuzzy c-means clustering algorithm;Bezdek;Computers & Geosciences,1984

5. Multivariable functional interpolation and adaptive networks;Brromhead;Complex Systems,1988

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3. Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy;Expert Systems with Applications;2023-06

4. Noise-Robust Fuzzy Classifier Designed With the Aid of Type-2 Fuzzy Clustering and Enhanced Learning;IEEE Access;2023

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