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논문 기본 정보

자료유형
학술저널
저자정보
Seok-Beom Roh (The University of Suwon) Sung-Kwun Oh (The University of Suwon)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.11 No.6
발행연도
2016.11
수록면
1,872 - 1,879 (8page)

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초록· 키워드

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The techniques to recycle and reuse plastics attract public attention. These public attraction and needs result in improving the recycling technique. However, the identification technique for black plastic wastes still have big problem that the spectrum extracted from near infrared radiation spectroscopy is not clear and is contaminated by noise. To overcome this problem, we apply Raman spectroscopy to extract a clear spectrum of plastic material. In addition, to improve the classification ability of fuzzy Radial Basis Function Neural Networks, we apply supervised learning based clustering method instead of unsupervised clustering method. The conditional fuzzy C-Means clustering method, which is a kind of supervised learning based clustering algorithms, is used to determine the location of radial basis functions. The conditional fuzzy C-Means clustering analyzes the data distribution over input space under the supervision of auxiliary information. The auxiliary information is defined by using k Nearest Neighbor approach.

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Abstract
1. Introduction
2. Fuzzy C-Means Clustering and Conditional Fuzzy C-Means Clustering
3. Radial Basis Function Neural Networks based on Auxiliary Information
4. Extraction of Input Variables from Raman Spectrum
5. Experimental Studies
6. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2017-560-001327742