Korespondensi Developing an optimized recurrent neural network model for air quality prediction using K-means clustering and PCA dimension reduction

Surono, Sugiyarto Korespondensi Developing an optimized recurrent neural network model for air quality prediction using K-means clustering and PCA dimension reduction. IJIRSS.

Text Koresponden author IJIRSS.pdf Download (664kB)

Item Type:	Other
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Depositing User:	Dr Sugiyarto Surono
Date Deposited:	16 Jun 2023 03:18
Last Modified:	16 Jun 2023 03:18
URI:	http://eprints.uad.ac.id/id/eprint/43404

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