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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Xehetasun bibliografikoak

Egile Nagusiak:	Yi Zhang, Pengtao Liu, Yingying Xu, Meng Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2025-02-01
Saila:	Scientific Reports
Gaiak:	Swarm intelligence optimization algorithm Enhanced crayfish optimization algorithm BiTCN-BiLSTM model Hyperparameter optimization Dew volume prediction
Sarrera elektronikoa:	https://doi.org/10.1038/s41598-024-74097-x
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