Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation-Reference-Cited by-同舟云学术

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Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation

Published:2024-08 Issue: Volume:26 Page:101178
ISSN:2352-801X
Container-title:Groundwater for Sustainable Development
language:en
Short-container-title:Groundwater for Sustainable Development

Author:

Samantaray Sandeep^ORCID,Sahoo Abinash

Publisher

Elsevier BV

Reference101 articles.

1. Extreme learning machines: a new approach for prediction of reference evapotranspiration;Abdullah;J. Hydrol.,2015

2. Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine;Acharya;Clim. Dynam.,2014

3. A wavelet neural network conjunction model for groundwater level forecasting;Adamowski;J. Hydrol.,2011

4. Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada;Adamowski;Water Resour. Res.,2012

5. Application of novel binary optimized machine learning models for monthly streamflow prediction;Adnan;Appl. Water Sci.,2023

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