- 期刊
- OpenAccess
Selection of an Artificial Neural Network Model for the Post-calibration of Weather Radar Rainfall Estimation
並列摘要
A statistical approach, based on artificial neural networks, is proposed for the post-calibration of weather radar rainfall estimation. Tested artificial neural networks include multilayer feedforward networks and radial basis functions. The multilayer feedforward training algorithms consisted of four variants of the gradient descent method, four variants of the conjugate gradient method, Quasi-Newton, One Step Secant, Resilient backpropagation, Levenberg-Marquardt method and Levenberg-Marquardt method using Bayesian regularization. The radial basis networks were the radial basis functions and the generalized regression networks. In general, results showed that the Levenberg-Marquardt algorithm using Bayesian regularization can be introduced as a robust and reliable algorithm for post-calibration of weather radar rainfall estimation. This method benefits from the convergence speed of the Levenberg-Marquardt algorithm and from the over fitting control of Bayes' theorem. All the other multilayer feedforward training algorithms result in failure since they often lead to over fitting or converged to a local minimum, which prevents them from generalizing the data. Radial basis networks are also problematic since they are very sensitive when used with sparse data.
延伸閱讀
- Mustafa, M. R., Rezaur, R. B., Rahardjo, H., Isa, M. H., & Arif, A. (2015). Artificial Neural Network Modeling for Spatial and Temporal Variations of Pore-Water Pressure Responses to Rainfall. Advances in Meteorology, 2015(), 123-134-035. https://doi.org/10.1155/2015/273730
- Krasnopolsky, V. M., & Lin, Y. (2012). A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US. Advances in Meteorology, 2012(), 436-446. https://doi.org/10.1155/2012/649450
- Chiang, Y. M. (2007). Artificial Neural Networks in Hydrometeorology-Flood Forecasting from Radar and Numerical Weather Prediction Information [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2007.01057
- 張倍源（2021）。Integration of Artificial Neural Networks with Time-Area Method in Rainfall-Runoff Modeling〔碩士論文，淡江大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0002-1409202115584000
- 林俊良（2022）。A Study of Dual-Polarization Radar Rainfall Estimation Using Long Short-Term Memory Neural Networks〔碩士論文，淡江大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0002-2508202204451600