Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model

Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model

Abstract This paper presents a hybrid prediction model, ECOA-BiTCN-BiLSTM, for predicting dew in cold areas. The model integrates BiTCN and BiLSTM neural networks to enhance performance. An enhanced Crayfish optimization algorithm (ECOA) with four mixed strategies was employed to optimize the model’...

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Bibliographic Details
Main Authors: Yi Zhang, Pengtao Liu, Yingying Xu, Meng Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Swarm intelligence optimization algorithm
Enhanced crayfish optimization algorithm
BiTCN-BiLSTM model
Hyperparameter optimization
Dew volume prediction
Online Access:https://doi.org/10.1038/s41598-024-74097-x
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https://doi.org/10.1038/s41598-024-74097-x

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