Pattern layer reduction for a generalized regression neural network by using a self-organizing map

DOI10.2478/AMCS-2018-0031zbMath1475.68278OpenAlexW2883702837WikidataQ129558981 ScholiaQ129558981MaRDI QIDQ1784078

Mustafa Oral, Serkan Kartal, Buse Melis Ozyildirim

Publication date: 26 September 2018

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amcs-2018-0031

zbMATH Keywords

artificial neural networkself-organizing mapsnearest neighbourgeneralized regression neural networkreduced dataset

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Learning and adaptive systems in artificial intelligence (68T05) Neural nets and related approaches to inference from stochastic processes (62M45)

Uses Software

• Silhouettes
• UCI-ml
• AS 136

Cites Work

• Unnamed Item
• Estimating the Number of Clusters in a Data Set Via the Gap Statistic
• Algorithm AS 136: A K-Means Clustering Algorithm
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Self-organized formation of topologically correct feature maps
• Dimension reduction for objects composed of vector sets
• Improving genetic algorithms' performance by local search for continuous function optimization
• Center-based l1–clustering method
• Nearest neighbor pattern classification

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