Meta-learning prediction of physical and chemical properties of magnetized water and fertilizer based on LSTM
Abstract Background Due to the high cost of data collection for magnetization detection of media, the sample size is limited, it is not suitable to use deep learning method to predict its change trend. The prediction of physical and chemical properties of magnetized water and fertilizer (PCPMWF) by...
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Autores principales: | Jing Nie, Nianyi Wang, Jingbin Li, Kang Wang, Hongkun Wang |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/6b9f7a9f7272482e9f3561aa2b7cb0d5 |
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