Funder
Natural Science Foundation of Shandong Province
Sci-tech development project of Shandong Province
China Postdoctoral Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Pollution,Water Science and Technology,Ecological Modelling,Environmental Chemistry,Environmental Engineering
Reference46 articles.
1. Agarwal, A., & Singh, R. D. (2004). Runoff modelling through back propagation artificial neural network with variable rainfall-runoff data. Water Resources Management, 18, 285–300.
https://doi.org/10.1023/B:WARM.0000043134.76163.b9
.
2. Alexander, L. V., X. Zhang, T. C. Peterson, J. Caesar, B. Gleason, A. Klein Tank, M. Haylock, D. Collins, B. Trewin, and F. Rahimzadeh. Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research: Atmospheres 2006, 111(D5). doi:
https://doi.org/10.1029/2005JD006290
.
3. Alexander, L. V. (2016). Global observed long-term changes in temperature and precipitation extremes: a review of progress and limitations in IPCC assessments and beyond. Weather and Climate Extremes, 11, 4–16.
https://doi.org/10.1016/j.wace.2015.10.007
.
4. Bishop, C. M. (1995). Neural networks for pattern recognition (p. 504). Oxford: Clarendon.
5. Bennett, N. D., Newham, L., Croke, B., & Jakeman, A. J. (2007). Patching and disaccumulation of rainfall data for hydrological modelling. Int. Congress on Modelling and Simulation (MODSIM 2007). New Zealand: Modelling and Simulation Society of Australia and New Zealand Inc..
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