Drought forecasting using new advanced ensemble-based models of reduced error pruning tree
出版年份 2022 全文链接
标题
Drought forecasting using new advanced ensemble-based models of reduced error pruning tree
作者
关键词
-
出版物
Acta Geophysica
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-02-22
DOI
10.1007/s11600-022-00738-2
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。- Statistical analysis of regional air temperature characteristics before and after dam construction
- (2022) Ziyi Chen et al. Urban Climate
- A novel perturbation method to reduce the dynamical degradation of digital chaotic maps
- (2021) Lingfeng Liu et al. NONLINEAR DYNAMICS
- Improving daily stochastic streamflow prediction: Comparison of novel hybrid data mining algorithms
- (2021) Khabat Khosravi et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction
- (2021) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling
- (2021) Katayoun Kargar et al. JOURNAL OF HYDROLOGY
- Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm
- (2021) Tianjie Zhao et al. REMOTE SENSING OF ENVIRONMENT
- Spatiotemporal characteristics and attribution of dry/wet conditions in the Weihe River Basin within a typical monsoon transition zone of East Asia over the recent 547 years
- (2021) Xinyu Chen et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Short-term River streamflow modeling using Ensemble-based additive learner approach
- (2021) Khabat Khosravi et al. Journal of Hydro-environment Research
- Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran
- (2021) Mahdi Panahi et al. Journal of Hydrology-Regional Studies
- Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms
- (2021) Khabat Khosravi et al. ENVIRONMENTAL MODELLING & SOFTWARE
- How to promote residents’ use of green space: An empirically grounded agent-based modeling approach
- (2021) Xin Liang et al. URBAN FORESTRY & URBAN GREENING
- Reliable solar irradiance prediction using ensemble learning-based models: A comparative study
- (2020) Junho Lee et al. ENERGY CONVERSION AND MANAGEMENT
- Bedload transport rate prediction: Application of novel hybrid data mining techniques
- (2020) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- Improving prediction of water quality indices using novel hybrid machine-learning algorithms
- (2020) Duie Tien Bui et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Machine learning techniques for monthly river flow forecasting of Hunza River, Pakistan
- (2020) Dostdar Hussain et al. Earth Science Informatics
- Prediction of droughts over Pakistan using machine learning algorithms
- (2020) Najeebullah Khan et al. ADVANCES IN WATER RESOURCES
- MRMD2.0: A Python tool for machine learning features ranking and reduction
- (2020) Shida He et al. Current Bioinformatics
- Multi-algorithm comparison for predicting soil salinity
- (2020) Fei Wang et al. GEODERMA
- Heuristic creation of deep rule ensemble through iterative expansion of feature space
- (2020) Han Liu et al. INFORMATION SCIENCES
- Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
- (2020) Wei Chen et al. JOURNAL OF HYDROLOGY
- Soil moisture experiment in the Luan River supporting new satellite mission opportunities
- (2020) Tianjie Zhao et al. REMOTE SENSING OF ENVIRONMENT
- Relative performance of different data mining techniques for nitrate concentration and load estimation in different type of watersheds
- (2020) Shiyang Li et al. ENVIRONMENTAL POLLUTION
- Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method
- (2020) Viet-Ha Nhu et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India
- (2020) Sunil Saha et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Multi-Branch Deep Residual Learning for Clustering and Beamforming in User-Centric Network
- (2020) Yuan He et al. IEEE COMMUNICATIONS LETTERS
- River Water Salinity Prediction Using Hybrid Machine Learning Models
- (2020) Assefa M. Melesse et al. Water
- Investigation of multilingual and mixed-lingual emotion recognition using enhanced cues with data augmentation
- (2020) S. Lalitha et al. APPLIED ACOUSTICS
- Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
- (2020) Binh Thai Pham et al. CATENA
- Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran
- (2020) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- Heterogeneous Domain Adaptation: An Unsupervised Approach
- (2020) Feng Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization
- (2020) Hangjun Che et al. IEEE Transactions on Neural Networks and Learning Systems
- Drought forecasting using novel heuristic methods in a semi-arid environment
- (2019) Ozgur Kisi et al. JOURNAL OF HYDROLOGY
- River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
- (2019) Sinan Q. Salih et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
- (2018) Khabat Khosravi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile
- (2018) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- A new nested ensemble technique for automated diagnosis of breast cancer
- (2018) Moloud Abdar et al. PATTERN RECOGNITION LETTERS
- Drought forecasting by ANN, ANFIS, and SVM and comparison of the models
- (2017) Maryam Mokhtarzad et al. Environmental Earth Sciences
- Assessing CO 2 emissions in China's iron and steel industry: A nonparametric additive regression approach
- (2017) Bin Xu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-Arid Regions—A Case Study of the Karkheh River Basin in Iran
- (2017) Bahareh Kamali et al. Water
- Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction
- (2016) A. Belayneh et al. ATMOSPHERIC RESEARCH
- A dynamic analysis of air pollution emissions in China: Evidence from nonparametric additive regression models
- (2016) Bin Xu et al. ECOLOGICAL INDICATORS
- Assessment of droughts in Romania using the Standardized Precipitation Index
- (2016) M. Ionita et al. NATURAL HAZARDS
- Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia
- (2015) Ravinesh C. Deo et al. ATMOSPHERIC RESEARCH
- Extreme streamflow drought in the Karkheh river basin (Iran): probabilistic and regional analyses
- (2014) Reza Zamani et al. NATURAL HAZARDS
- SPI Modes of Drought Spatial and Temporal Variability in Portugal: Comparing Observations, PT02 and GPCC Gridded Datasets
- (2014) Tayeb Raziei et al. WATER RESOURCES MANAGEMENT
- Analyses of the impact of climate change on water resources components, drought and wheat yield in semiarid regions: Karkheh River Basin in Iran
- (2013) S. Ashraf Vaghefi et al. HYDROLOGICAL PROCESSES
- Analysis of meteorological drought in northwest Iran using the Joint Deficit Index
- (2013) Rasoul Mirabbasi et al. JOURNAL OF HYDROLOGY
- Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran)
- (2013) Bagher Shirmohammadi et al. NATURAL HAZARDS
- Drought characterization using a new copula-based trivariate approach
- (2013) Bahram Saghafian et al. NATURAL HAZARDS
- Improving the accuracy of flow units prediction through two committee machine models: An example from the South Pars Gas Field, Persian Gulf Basin, Iran
- (2012) Javad Ghiasi-Freez et al. COMPUTERS & GEOSCIENCES
- Artificial Neural Network–Based Drought Forecasting Using a Nonlinear Aggregated Drought Index
- (2012) S. Barua et al. JOURNAL OF HYDROLOGIC ENGINEERING
- A review of drought indices
- (2011) Amin Zargar et al. ENVIRONMENTAL REVIEWS
- Drought Monitoring by Reconnaissance Drought Index (RDI) in Iran
- (2011) Mohammad Amin Asadi Zarch et al. WATER RESOURCES MANAGEMENT
- Investigation of meteorological drought characteristics in Fars province, Iran
- (2010) H.R. Moradi et al. CATENA
- A New Global 0.5° Gridded Dataset (1901–2006) of a Multiscalar Drought Index: Comparison with Current Drought Index Datasets Based on the Palmer Drought Severity Index
- (2010) S. M. Vicente-Serrano et al. JOURNAL OF HYDROMETEOROLOGY
- Drought forecasting based on the remote sensing data using ARIMA models
- (2009) Ping Han et al. MATHEMATICAL AND COMPUTER MODELLING
- Use of a standardized runoff index for characterizing hydrologic drought
- (2008) Shraddhanand Shukla et al. GEOPHYSICAL RESEARCH LETTERS
- Adaptive Neuro-Fuzzy Inference System for drought forecasting
- (2008) Ulker Guner Bacanli et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Spatial Patterns and Temporal Variability of Drought in Western Iran
- (2008) Tayeb Raziei et al. WATER RESOURCES MANAGEMENT
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started