Optimized design of neural networks for a river water level prediction system
In this paper, a Multi-Objective Genetic Algorithm (MOGA) framework for the design of Artificial Neural Network (ANN) models is used to design 1-step-ahead prediction models of river water levels. The design procedure is a near-automatic method that, given the data at hand, can partition it into dat...
Main Author: | |
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Other Authors: | , , |
Format: | article |
Language: | eng |
Published: |
2021
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Subjects: | |
Online Access: | http://hdl.handle.net/10400.1/17287 |
Country: | Portugal |
Oai: | oai:sapientia.ualg.pt:10400.1/17287 |