On a granular functional link network for classification-Reference-Cited by-同舟云学术

On a granular functional link network for classification

Published:2020-07 Issue: Volume:398 Page:108-116
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Colace Francesco,Loia Vincenzo^ORCID,Pedrycz Witold,Tomasiello Stefania

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification;Abpeykar;Comput. Stat. Data Anal.,2019

2. Comparison theorems on moduli of continuity;Anastassiou;Comput. Math. Appl.,1995

3. Interpretable regularized class association rules algorithm for classification in a categorical data space;Azmi;Inf. Sci.,2019

4. Granular Computing: an Introduction;Bargiela,2003

5. Efficient skin region segmenta- tion using low complexity fuzzy decision tree model;Bhatt,2009

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