Fuzzy C-Means Clustering Interval Type-2 Cerebellar Model Articulation Neural Network for Medical Data Classification

Fuzzy C-Means Clustering Interval Type-2 Cerebellar Model Articulation Neural Network for Medical Data Classification

This paper presents a fuzzy c-means clustering interval type-2 cerebellar model articulation neural network (FCM-IT2CMANN) method to help physicians improve diagnostic accuracy. The proposed method combines two classifiers, in which the IT2CMANN is the primary classifier and the fuzzy c-means algori...

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Bibliographic Details
Main Author: Tien-Loc Le
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Classification problem
cerebellar model articulation neural network
fuzzy c-means clustering algorithm
medical diagnosis
Online Access:https://ieeexplore.ieee.org/document/8631033/

Internet

https://ieeexplore.ieee.org/document/8631033/

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