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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Autors principals:	Yi Zhang, Pengtao Liu, Yingying Xu, Meng Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-02-01
Col·lecció:	Scientific Reports
Matèries:	Swarm intelligence optimization algorithm Enhanced crayfish optimization algorithm BiTCN-BiLSTM model Hyperparameter optimization Dew volume prediction
Accés en línia:	https://doi.org/10.1038/s41598-024-74097-x
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