Téléchargez le livre : Spatially Explicit Hyperparameter Optimization for Neural Networks

Spatially Explicit Hyperparameter Optimization for Neural Networks



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Éditeur :

Springer


Paru le : 2021-10-18



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Description

Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the overall running time. Therefore, an automated approach is necessary for addressing these limitations in current studies. This book proposes an automated spatially explicit hyperparameter optimization approach to identify optimal or near-optimal parameter settings for neural networks in the GIScience field. Also, the approach improves the computing performance at both model and computing levels. This book is writtenfor researchers of the GIScience field as well as social science subjects.
Pages
108 pages
Collection
n.c
Parution
2021-10-18
Marque
Springer
EAN papier
9789811653988
EAN PDF
9789811653995
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
4792 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
137,79 €
EAN EPUB
9789811653995
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
33311 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
137,79 €

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