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Design of Conditional Fuzzy C-Regression Model Clustering-based RBFNN Model Realized with the Aid of Auxiliary Information

부가정보를 이용한 조건부 Fuzzy C-Regression Model 클러스터링 알고리즘 기반 RBFNN 모델 설계
Authors: Sang-Beom Park; Sung-Kwun Oh;

Design of Conditional Fuzzy C-Regression Model Clustering-based RBFNN Model Realized with the Aid of Auxiliary Information

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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