Real-time prediction of port water levels based on EMD-PSO-RBFNN

Real-time prediction of port water levels based on EMD-PSO-RBFNN

Addressing the spatial variability, temporal dynamics, and non-linearity characteristics of port water levels, a hybrid prediction scheme was proposed, which integrates empirical mode decomposition (EMD) with a radial basis function neural network (RBFNN), optimized using the particle swarm optimiza...

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Bibliographic Details
Main Authors: Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Marine Science
Subjects:
port water level prediction
radial basis function neural network
particle swarm optimization algorithm
empirical mode decomposition
hybrid model
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2025.1537696/full
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https://www.frontiersin.org/articles/10.3389/fmars.2025.1537696/full

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