A CNN model based on fuzzy US health insurance dataset

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초록

In this paper, we propose an analysis method that converts the existing crisp data into fuzzy data and applies a convolutional neural network (CNN). We confirm that the accuracy of our CNN model based on fuzzy US health insurance dataset is higher than that of the CNN based on the crisp data.

키워드

Deep learningConvolutional neural networkFuzzy dataMACHINE
제목
A CNN model based on fuzzy US health insurance dataset
저자
Kim, Jon-LarkWon, Byung-SunYoon, Jin Hee
DOI
10.1109/SCISISIS55246.2022.10002138
발행일
2022-11
유형
Proceedings Paper
저널명
2022 JOINT 12TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS AND 23RD INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (SCIS&ISIS)