Hyperparameter Optimization of a Convolutional Neural Network Model for Pipe Burst Location in Water Distribution Networks

Hyperparameter Optimization of a Convolutional Neural Network Model for Pipe Burst Location in Water Distribution Networks

The current paper presents a hyper parameterization optimization process for a convolutional neural network (CNN) applied to pipe burst locations in water distribution networks (WDN). The hyper parameterization process of the CNN includes the early stopping termination criteria, dataset size, datase...

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Bibliographic Details
Main Authors: André Antunes, Bruno Ferreira, Nuno Marques, Nelson Carriço
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Imaging
Subjects:
convolutional neural networks
deep learning
hydraulic model
hyper parameterization
pipe burst location
Online Access:https://www.mdpi.com/2313-433X/9/3/68

Internet

https://www.mdpi.com/2313-433X/9/3/68

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