☆ 4.6 Article

A New Evolutionary Hybrid Random Forest Model for SPEI Forecasting

WATER (2022)

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。

Article Computer Science, Artificial Intelligence

A novel intelligent deep learning predictive model for meteorological drought forecasting

Ali Danandeh Mehr et al.

Summary: This paper presents the development and verification of a new hybrid intelligent model called convolutional long short-term memory (CNN-LSTM) for short-term meteorological drought forecasting. The model showed superior performance in predicting SPEI and is a promising and reliable modeling approach.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2022)

添加到收藏夹

Article Geochemistry & Geophysics

Multitemporal meteorological drought forecasting using Bat-ELM

Reza Gholizadeh et al.

Summary: The advancement of machine learning models in geosciences has shown significant progress in predicting natural hazards. This article introduces a new hybrid model, Bat-ELM, which combines the Bat optimization algorithm and extreme learning machine for predictive drought modeling. The proposed model outperforms the classic artificial neural network and standalone ELM models in terms of forecasting accuracy, with a 20% improvement over traditional ANN and 15% improvement over classic ELM techniques.

ACTA GEOPHYSICA (2022)

添加到收藏夹

Article Green & Sustainable Science & Technology

On the implementation of a novel data-intelligence model based on extreme learning machine optimized by bat algorithm for estimating daily chlorophyll-a concentration: Case studies of river and lake in USA

Meysam Alizamir et al.

Summary: In this study, different models were developed to predict the daily chlorophyll-a concentration in river and lake ecosystems, with the Bat-ELM model showing the most robust performance. The results indicated that periodicity is the most influential parameter affecting the daily chlorophyll-a concentration.

JOURNAL OF CLEANER PRODUCTION (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh

Zaher Mundher Yaseen et al.

Summary: The study examined the ability of various machine learning models to predict droughts, with the ELM model identified as the most effective in forecasting droughts.

SCIENTIFIC REPORTS (2021)

添加到收藏夹

Article Geochemistry & Geophysics

Drought classification using gradient boosting decision tree

Ali Danandeh Mehr

Summary: This study compared the classification and prediction capabilities of decision tree, genetic programming, and gradient boosting decision tree techniques for forecasting precipitation and evaporation indexes. GBT showed promising performance in Ankara, while GP was more accurate in central Antalya. The GP model with a scaled sigmoid function demonstrated ease in classifying and predicting different events in the case studies.

ACTA GEOPHYSICA (2021)

添加到收藏夹

Article Engineering, Environmental

A novel hybrid dragonfly optimization algorithm for agricultural drought prediction

Pouya Aghelpour et al.

Summary: The study utilized PDSI time series to analyze meteorological data, identifying drought event types for the driest months. By applying machine learning techniques and a novel hybrid model, the accuracy and performance of the agricultural drought monitoring model were successfully optimized.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021)

添加到收藏夹

Article Engineering, Civil

Wavelet Packet-Genetic Programming: A New Model for Meteorological Drought Hindcasting

Ali Danandeh Mehr et al.

Summary: This study developed a new hybrid model WPGP for short-term meteorological drought forecast, which combines wavelet packet decomposition with genetic programming to improve predictive accuracy. The results showed that WPGP is a robust model, superior to other common predictive models such as AR1 and RF.

TEKNIK DERGI (2021)

添加到收藏夹

Article Engineering, Civil

Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling

Farshad Ahmadi et al.

Summary: The study aimed to model reconnaissance drought index time series using hybrid SVR models, which showed better results than standalone SVR, with Coifflet mother wavelet being the best-performing one. The most accurate results were achieved for RDI-12 modeling using W-SVR at Tehran and Dezful stations.

WATER RESOURCES MANAGEMENT (2021)

添加到收藏夹

Article Environmental Sciences

Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning

Jun Li et al.

Summary: The study introduces a new meteorological drought prediction approach using the antecedent SST fluctuation pattern (ASFP) and machine learning techniques, developing three models for drought prediction. The ASFP-ELM model effectively predicts space-time evolutions of drought events, outperforming other models, and provides a reliable tool for drought prediction.

WATER RESOURCES RESEARCH (2021)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

The impacts of climate change on the runoff volume of Melen and Munzur Rivers in Turkey based on calibration of WASMOD model with multiobjective genetic algorithm

Mustafa Nuri Balov et al.

METEOROLOGY AND ATMOSPHERIC PHYSICS (2020)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Identification of the trends associated with the SPI and SPEI indices across Ankara, Turkey

Ali Danandeh Mehr et al.

THEORETICAL AND APPLIED CLIMATOLOGY (2020)

添加到收藏夹

Article Environmental Sciences

Unsustainability Syndrome-From Meteorological to Agricultural Drought in Arid and Semi-Arid Regions

Ali Torabi Haghighi et al.

WATER (2020)

添加到收藏夹

Article Multidisciplinary Sciences

Drought analysis with different indices for the Asi Basin (Turkey)

Mehmet Dikici

SCIENTIFIC REPORTS (2020)

添加到收藏夹

Article Engineering, Civil

A MCMC-based maximum entropy copula method for bivariate drought risk analysis of the Amu Darya River Basin

X. Yang et al.

JOURNAL OF HYDROLOGY (2020)

添加到收藏夹

Article Engineering, Civil

Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting

Md Munir Hayet Khan et al.

JOURNAL OF HYDROLOGY (2020)

添加到收藏夹

Article Geochemistry & Geophysics

A Novel Fuzzy Random Forest Model for Meteorological Drought Classification and Prediction in Ungauged Catchments

Ali Danandeh Mehr et al.

PURE AND APPLIED GEOPHYSICS (2020)

添加到收藏夹

Article Environmental Sciences

Prediction of Severe Drought Area Based on Random Forest: Using Satellite Image and Topography Data

Haekyung Park et al.

WATER (2019)

添加到收藏夹

Article Engineering, Civil

Drought forecasting using novel heuristic methods in a semi-arid environment

Ozgur Kisi et al.

JOURNAL OF HYDROLOGY (2019)

添加到收藏夹

Article Geosciences, Multidisciplinary

Drought monitoring and analysis: Standardised Precipitation Evapotranspiration Index (SPEI) and Standardised Precipitation Index (SPI)

S. Tirivarombo et al.

PHYSICS AND CHEMISTRY OF THE EARTH (2018)

添加到收藏夹

Article Engineering, Environmental

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

Ravinesh C. Deo et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2017)

添加到收藏夹

Article Environmental Sciences

Drought forecasting by ANN, ANFIS, and SVM and comparison of the models

Maryam Mokhtarzad et al.

ENVIRONMENTAL EARTH SCIENCES (2017)

添加到收藏夹

Article Geography, Physical

Application of a hybrid association rules/decision tree model for drought monitoring

Vahid Nourani et al.

GLOBAL AND PLANETARY CHANGE (2017)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Defining Ecological Drought for the Twenty-First Century

Shelley D. Crausbay et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2017)

添加到收藏夹

Article Environmental Sciences

Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability

Hugo Carrao et al.

GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS (2016)

添加到收藏夹

Article Engineering, Civil

A gene-wavelet model for long lead time drought forecasting

Ali Danandeh Mehr et al.

JOURNAL OF HYDROLOGY (2014)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Bat algorithm: a novel approach for global engineering optimization

Xin-She Yang et al.

ENGINEERING COMPUTATIONS (2012)

添加到收藏夹

Article Engineering, Civil

Artificial Neural Network-Based Drought Forecasting Using a Nonlinear Aggregated Drought Index

S. Barua et al.

JOURNAL OF HYDROLOGIC ENGINEERING (2012)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Long Lead Time Drought Forecasting Using a Wavelet and Fuzzy Logic Combination Model: A Case Study in Texas

Mehmet Ozger et al.

JOURNAL OF HYDROMETEOROLOGY (2012)

添加到收藏夹

Review Environmental Sciences

A review of drought indices

Amin Zargar et al.

ENVIRONMENTAL REVIEWS (2011)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index

Sergio M. Vicente-Serrano et al.

JOURNAL OF CLIMATE (2010)

添加到收藏夹

Article Engineering, Environmental

Application of linear stochastic models for drought forecasting in the Buyuk Menderes river basin, western Turkey

Omer Faruk Durdu

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2010)

添加到收藏夹

Article Water Resources

Meteorological drought analysis using data-driven models for the Lakes District, Turkey

M. Erol Keskin et al.

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2009)

添加到收藏夹

Article Engineering, Environmental

Adaptive Neuro-Fuzzy Inference System for drought forecasting

Ulker Guner Bacanli et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2009)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Drought forecasting using artificial neural networks and time series of drought indices

Saeid Morid et al.

INTERNATIONAL JOURNAL OF CLIMATOLOGY (2007)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

添加到收藏夹

Article Geosciences, Multidisciplinary

An analysis of spatial and temporal dimension of drought vulnerability in Turkey using the standardized precipitation index

FK Sönmez et al.

NATURAL HAZARDS (2005)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.