scholarly journals A Granular Computing Paradigm for Concept Learning

2013 ◽  
pp. 307-326 ◽  
Author(s):  
Yiyu Yao ◽  
Xiaofei Deng
Keyword(s):  
Concept Learning ◽  
Granular Computing ◽  
Computing Paradigm

scholarly journals PERFORMANCE ANALYSIS OF GRANULAR COMPUTING MODEL IN SOFT COMPUTING PARADIGM FOR MONITORING OF FETAL ECHOCARDIOGRAPHY

2019 ◽  
Vol 2019 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Sathesh A
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Granular Computing ◽  
Fetal Heart ◽  
Fetal Echocardiography ◽  
Detection Accuracy ◽  
Second Trimester ◽  
Data Set ◽  
Computing Model ◽  
Computing Paradigm

The monitoring of fetal heart being essential in the second trimester of the prenatal periods. The abnormalities in the child heart rate has to be identified in the early stages, so as to take essential remedies for the babies in the womb, or would enable the physician to be ready for he complication on the delivery and the further treatment after the baby is received. The traditional methodologies being ineffective in detecting the abnormalities leading to fatalities, paves way for the granular computing based fuzzy set, that requires only a limited set of data for training, and helps in the eluding of the unwanted data set that are far beyond the optimal. Further the methods performance is analyzed to evident the improvement in the fetal heart rate detection in terms of prediction accuracy and the detection accuracy.

scholarly journals Concept learning via granular computing: A cognitive viewpoint

2015 ◽  
Vol 298 ◽  
pp. 447-467 ◽  
Author(s):  
Jinhai Li ◽  
Changlin Mei ◽  
Weihua Xu ◽  
Yuhua Qian
Keyword(s):  
Concept Learning ◽  
Granular Computing

Concept Learning in the Classroom

1975 ◽  
Vol 20 (6) ◽  
pp. 494-495
Author(s):  
EDITH NEIMARK
Keyword(s):  
Concept Learning
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