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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2004.1
- 수록면
- 141 - 148 (8page)
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목차
Abstract
1. Introduction
2. SSNNM and BP Algorithm
3. Study Area and Data
4. Training of SSNNM
5. Validation of SSNNM
6. Summary and Conclusion
References
참고문헌 (27)
참고문헌 신청
[학술지(정기간행물)] - / 1990 / BFGS optimization for faster and automated supervised learning Proc. of Int. Neural Network Conf. : 757 ~ 90 760
[학술지(정기간행물)] - / 2000a / Daily reservoir inflow forecasting using artificial neural networks with stopped training approach 230 : 244 ~ 257
[학술지(정기간행물)] - / 2000b / Neural network-based long-term hydropower forecasting system 15 (5) : 355 ~ 364
[학술지(정기간행물)] - / 2000 / Neural network toolbox: for use with the MATLAB user's guide
[학술지(정기간행물)] - / 1993 / . Neural network learning and expert systems. MIT Press
[학술지(정기간행물)] - / 2000a / Daily reservoir inflow forecasting using artificial neural networks with stopped training approach 230 : 244 ~ 257
[학술지(정기간행물)] - / 2000b / Neural network-based long-term hydropower forecasting system 15 (5) : 355 ~ 364
[학술지(정기간행물)] - / 2000 / Neural network toolbox: for use with the MATLAB user's guide
[학술지(정기간행물)] - / 1993 / . Neural network learning and expert systems. MIT Press
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