Modeling long-term rainfall-runoff time series through wavelet-weighted regularization extreme learning machine
出版年份 2021 全文链接
标题
Modeling long-term rainfall-runoff time series through wavelet-weighted regularization extreme learning machine
作者
关键词
-
出版物
Earth Science Informatics
Volume 14, Issue 2, Pages 1047-1063
出版商
Springer Science and Business Media LLC
发表日期
2021-03-26
DOI
10.1007/s12145-021-00603-8
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Dimensionless Groups of Parameters Governing the Ice-Seabed Interaction Process
- (2020) Hamed Azimi et al. JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME
- Ice-Seabed interaction analysis in sand using a gene expression programming-based approach
- (2020) Hamed Azimi et al. APPLIED OCEAN RESEARCH
- Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization
- (2020) Zhong-kai Feng et al. JOURNAL OF HYDROLOGY
- Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
- (2020) Shuai Gao et al. JOURNAL OF HYDROLOGY
- Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization
- (2020) Yazid Tikhamarine et al. JOURNAL OF HYDROLOGY
- Evaluation of preprocessing techniques for improving the accuracy of stochastic rainfall forecast models
- (2019) I. Ebtehaj et al. International Journal of Environmental Science and Technology
- Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran)
- (2019) Mehdi Ahmadi et al. PHYSICS AND CHEMISTRY OF THE EARTH
- A Comparative Study of MLR, KNN, ANN and ANFIS Models with Wavelet Transform in Monthly Stream Flow Prediction
- (2019) Ahmad Khazaee Poul et al. WATER RESOURCES MANAGEMENT
- Modular Wavelet–Extreme Learning Machine: a New Approach for Forecasting Daily Rainfall
- (2019) Aman Mohammad Kalteh WATER RESOURCES MANAGEMENT
- Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines
- (2017) Hamed Azimi et al. FLOW MEASUREMENT AND INSTRUMENTATION
- Extreme learning machine assessment for estimating sediment transport in open channels
- (2016) Isa Ebtehaj et al. ENGINEERING WITH COMPUTERS
- Prediction of scour depth around bridge piers using self-adaptive extreme learning machine
- (2016) Isa Ebtehaj et al. JOURNAL OF HYDROINFORMATICS
- Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of northern Iran
- (2016) Mahsa H. Kashani et al. JOURNAL OF HYDROLOGY
- An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
- (2014) Guang-Bin Huang Cognitive Computation
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started