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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.3 No.1
- 발행연도
- 2008.3
- 수록면
- 108 - 114 (7page)
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초록· 키워드
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Polynomial networks have been known to have excellent properties as classifiers and universal approximators to the optimal Bayes classifier. In this paper, the use of polynomial neural networks is proposed for efficient implementation of the polynomial-based classifiers. The polynomial neural network is a trainable device consisting of some rules and three processes. The three processes are assumption, effect, and fuzzy inference. The assumption process is driven by fuzzy c-means and the effect processes deals with a polynomial function. A learning algorithm for the polynomial neural network is developed and its performance is compared with that of previous studies.
목차
Abstract
1. Introduction
2. Polynomial Neural Network
3. Polynomical Neural Network Classifier
4. Experiments Studies
5. Conclusions
Acknowledgements
References
참고문헌 (23)
참고문헌 신청
1. [학술지(정기간행물)] - C.-L. Liu / 2006 / Class-specific feature polynomial classifier for pattern classification and its application to handwritten numeral recognition / Pattern Recognition 39 : 669 ~ 681
2. [학술지(정기간행물)] - G.E. Hinton / 1997 / Modeling the manifolds of images of handwritten digits / IEEE Trans. Neural Networks 8 (1) : 65 ~ 74
3. [단행본] - J. Shurmann / 1996 / Pattern Classification: A Unified View of Statistical and Neural Approaches / Wiley Interscience
4. [기타자료] - U. Kreßel / 1997 / “Pattern classification techniques based on function approximation”, in Handbook of Character Recognition and Document Image Analysis, H. Bunke and P.S.P. Wang, Eds. World Scientific, Singapore, pp. 49.78, 1997
5. [학술지(정기간행물)] - R. P. Lippman / 1981 / An introduction to computing with neural nets / IEEE ASSP Magazine 4 (2) : 4 ~ 22
2. [학술지(정기간행물)] - G.E. Hinton / 1997 / Modeling the manifolds of images of handwritten digits / IEEE Trans. Neural Networks 8 (1) : 65 ~ 74
3. [단행본] - J. Shurmann / 1996 / Pattern Classification: A Unified View of Statistical and Neural Approaches / Wiley Interscience
4. [기타자료] - U. Kreßel / 1997 / “Pattern classification techniques based on function approximation”, in Handbook of Character Recognition and Document Image Analysis, H. Bunke and P.S.P. Wang, Eds. World Scientific, Singapore, pp. 49.78, 1997
5. [학술지(정기간행물)] - R. P. Lippman / 1981 / An introduction to computing with neural nets / IEEE ASSP Magazine 4 (2) : 4 ~ 22
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