Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network (DNN)-Reference-Cited by-同舟云学术

Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network (DNN)

Published:2023-12 Issue: Volume:78 Page:102333
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Azedou Ali,Amine Aouatif,Kisekka Isaya,Lahssini Said,Bouziani Youness,Moukrim Said

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference149 articles.

1. Etude et cartographie des groupements végétaux du Parc Naturel de Talassemtane;Aafi,1997

2. Les ressources en eau au niveau de la zone d’action de l’Agence du Bassin Hydraulique du Loukkos: Etat des lieux et perspectives de leur développement et leur sauvegarde;ABHL,2006

3. Land use land cover change detection and urban sprawl prediction for Kuwait metropolitan region, using multi-layer perceptron neural networks (MLPNN);Al-Dousari;Egypt. J. Remote Sens. Space Sci.,2023

4. Remote sensing-based urban sprawl modeling using multilayer perceptron neural network markov chain in Baghdad, Iraq;Al-Hameedi;Remote Sens.,2021

5. Forecasting drought using multilayer perceptron artificial neural network model;Ali;Adv. Meteorol.,2017

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