최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국시뮬레이션학회논문지 = Journal of the Korea Society for Simulation, v.30 no.4, 2021년, pp.1 - 8
윤협상 (Dept. of Software Convergence, Daegu Catholic University)
Deep learning is one of the most widely accepted methods for the forecasting of time series data which have the complexity and non-linear behavior. In this paper, we investigate the modification of a state-of-art WaveNet deep learning architecture and walk forward validation (WFV) in order to foreca...
Bergstra, J., Bardenet, R., Bengio, Y., and Kegl, B., "Algorithms for Hyper-parameter Otimization", Proc. of 25th Annual Conference on Neural Information Processing Systems, pp. 1-9, 2011
Cho K, Merrienboer B. van, Gulcehre C, Bahdanau, D., Bougares, F,. Schwenk, H., and Bengio, Y. "Learning Prase Rpresentations sing RNN Encoder-Decoder for Statistical Machine Translation", Proc. of Empirical Methods in Natural Language Processing. pp. 1724-1734. 2014.
Clements M. P., Franses P. H., and Swanson N. R., "Forecasting Economic and Financial Time-Series with Non-linear Models". International Journal of Forecast, vol. 20, no. 2, pp. 169-183, 2004.
Hochreiter, S. and Schmidhuber, J., "Long Short-Term Memory", Neural Computation, vol. 9, no. 8, pp. 1735-1780, 1997
Hong, T., Gui, M., Baran, M., and Willis, H. L., "Modeling and Forecasting Hourly Electric Load by Multiple Linear Regression with Interactions", Proc. of the IEEE Power and Energy Society General Meeting, pp. 1-8, 2010.
Hong, T., Wang, P., and Willis, H. L., "A Naive Multiple Linear Regression Benchmark for Short Term Load Forecasting", Proc. of the IEEE Power and Energy Society General Meeting, vol. 2, pp. 1-6, 2011.
Livieris, I. E., Emmanuel, P., and Panagiotis, P., "A CNN-LSTM Model for Gold Price TimeSeries Forecasting", Neural Computing and Applications. vol. 32, no. 23, pp. 17351-17360, 2020.
Masters, D. and Luschi, C., "Revisiting Small Batch Training for Deep Neural Networks", 1-18. http://arxiv.org/abs/1804.07612, 2018
Ngoc T. T., van Dai, L., and Phuc D. T., "Grid Search of Multilayer Perceptron Based on the Walk-Forward Validation methodology", International Journal of Electrical and Computer Engineering, vol. 11, no, 2, pp. 1742-1751, 2021.
Oord, A. van den, Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., and Kavukcuoglu, K., "WaveNet: A Generative Model for Raw Audio", http://arxiv.org/abs/1609.03499, 2016.
Tealab, A., "Time Series Forecasting Using Artificial Neural Networks Methodologies: A Systematic Review." Future Computing and Informatics Journal, vol. 3, no. 2, pp. 334-340. 2018.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.