Application of Extreme Learning Machine Algorithm for Drought Forecasting

Application of Extreme Learning Machine Algorithm for Drought Forecasting

Drought is a complex and frequently occurring natural hazard in many parts of the world. Therefore, accurate drought forecasting is essential to mitigate its adverse impacts. This research has inferred the implication and the appropriateness of the extreme learning machine (ELM) algorithm for drough...

Full description

Saved in:

Bibliographic Details
Main Authors:	Muhammad Ahmad Raza, Mohammed M. A. Almazah, Zulfiqar Ali, Ijaz Hussain, Fuad S. Al-Duais
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2022/4998200
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices
by: Muhammad Ahmad Raza, et al.
Published: (2023-01-01)

A New Comprehensive Framework for Identifying and Monitoring the Interseasonal Characteristics of Meteorological Drought
by: Hamza Amin, et al.
Published: (2023-01-01)

A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes
by: Zulfiqar Ali, et al.
Published: (2018-01-01)

A novel regional forecastable multiscalar standardized drought index (RFMSDI) for regional drought monitoring and assessment
by: Aamina Batool, et al.
Published: (2025-03-01)

Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities
by: Rizwan Niaz, et al.
Published: (2022-01-01)

Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting
by: Ehtsham Muhammad, et al.
Published: (2025-01-01)

Assessing Institutional Performance Using Machine Learning Algorithms
by: zainabalwan anwer, et al.
Published: (2024-09-01)

['IDENTIFYING MOLECULAR FUNCTIONS OF DYNEIN MOTOR PROTEINS USING EXTREME GRADIENT BOOSTING ALGORITHM WITH MACHINE LEARNING']
by: Ali Ghulam, et al.
Published: (2022-11-01)

Nonlinear Programming to Determine Best Weighted Coefficient of Balanced LINEX Loss Function Based on Lower Record Values
by: Fuad S. Al-Duais, et al.
Published: (2021-01-01)

An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks
by: Feifan Wang, et al.
Published: (2018-01-01)

Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values
by: Fuad S. Al-Duais
Published: (2021-01-01)

Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application
by: Zaher Mundher Yaseen, et al.
Published: (2020-01-01)

A Novel Framework for Selecting Informative Meteorological Stations Using Monte Carlo Feature Selection (MCFS) Algorithm
by: Rizwan Niaz, et al.
Published: (2020-01-01)

Forecasting Uranium Resource Price Prediction by Extreme Learning Machine with Empirical Mode Decomposition and Phase Space Reconstruction
by: Qisheng Yan, et al.
Published: (2014-01-01)

High-Accuracy Fault Location Detection in Double-Circuit Transmission Lines Utilizing Extreme Learning Machine Algorithm
by: Muhammad Hammad Saeed
Published: (2024-09-01)

Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting
by: Hai Tao, et al.
Published: (2020-01-01)

AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
by: Ayesha Nadeem, et al.
Published: (2024-09-01)

Forecasting power generation of wind turbine with real-time data using machine learning algorithms
by: Asiye Bilgili, et al.
Published: (2024-12-01)

Machine Learning Models for Spring Discharge Forecasting
by: Francesco Granata, et al.
Published: (2018-01-01)

An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting
by: CHEN Zeming, et al.
Published: (2025-01-01)

Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
by: Frontiers Editorial Office
Published: (2025-02-01)

RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm
by: Longjun Guo, et al.
Published: (2022-02-01)

An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine
by: Derya Avci, et al.
Published: (2016-01-01)

Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.
by: Shayla Naznin, et al.
Published: (2025-01-01)

FORECASTING DEFERRED TAXES IN INTERNATIONAL ACCOUNTING WITH MACHINE LEARNING
by: Osman Bayri, et al.
Published: (2022-07-01)

Machine Learning Methods for Weather Forecasting: A Survey
by: Huijun Zhang, et al.
Published: (2025-01-01)

Extreme drought-heatwave exacerbates water quality deterioration in China
by: Jie Jiang, et al.
Published: (2025-01-01)

Government crisis communication tools in the light of the extreme drought of 2022
by: Ágnes Kovács, et al.
Published: (2024-11-01)

Extreme Precipitation and Floods: Monitoring, Modelling, and Forecasting
by: Zheng Duan, et al.
Published: (2017-01-01)

A Hybrid Model of Extreme Learning Machine Based on Bat and Cuckoo Search Algorithm for Regression and Multiclass Classification
by: Qinwei Fan, et al.
Published: (2021-01-01)

Enhancing Drought Forecast Accuracy Through Informer Model Optimization
by: Jieru Wei, et al.
Published: (2025-01-01)

Quantum computational infusion in extreme learning machines for early multi-cancer detection
by: Anas Bilal, et al.
Published: (2025-02-01)

Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments
by: Said Arab Khan, et al.
Published: (2017-01-01)

A Vortex Identification Method Based on Extreme Learning Machine
by: Jun Wang, et al.
Published: (2020-01-01)

Globality-Locality Preserving Maximum Variance Extreme Learning Machine
by: Yonghe Chu, et al.
Published: (2019-01-01)

A Novel Modeling Technique for the Forecasting of Multiple-Asset Trading Volumes: Innovative Initial-Value-Problem Differential Equation Algorithms for Reinforcement Machine Learning
by: Mazin A. M. Al Janabi
Published: (2022-01-01)

Proline, Total Antioxidant Capacity, and OsP5CS Gene Activity in Radical and Plumule of Rice are Efficient Drought Tolerance Indicator Traits
by: Muhammad Abu Bakar Saddique, et al.
Published: (2020-01-01)

Evaluating Machine Unlearning: Applications, Approaches, and Accuracy
by: Zulfiqar Ali, et al.
Published: (2025-01-01)

Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering
by: Senhui Wang
Published: (2025-02-01)

Prediction of Mechanical Properties of Aluminium Alloy Strip Using the Extreme Learning Machine Model Optimized by the Gray Wolf Algorithm
by: Zhenqiang Xiong, et al.
Published: (2023-01-01)