2023•Arabian Journal of GeosciencesRequires access

Enhancement groundwater level prediction using hybrid ANN-HHO model: case study (Shabestar Plain in Iran)

Ehsan Mirzania, Mohammad Ali Ghorbani, Esmaeil Asadi

Open publisher page 11 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Mean squared error, Coefficient of determination, Artificial neural network, Groundwater, Mathematics, Absolute deviation, Statistics, Environmental science

Back to paper search Browse research topics Original source

Enhancement groundwater level prediction using hybrid ANN-HHO model: case study (Shabestar Plain in Iran) — Research Paper | ScholarLens