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...

Full description

Saved in:
Bibliographic Details
Main Authors: Jing Nie, Nianyi Wang, Jingbin Li, Kang Wang, Hongkun Wang
Format: article
Language:EN
Published: BMC 2021
Subjects:
Online Access:https://doaj.org/article/6b9f7a9f7272482e9f3561aa2b7cb0d5
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items