Open AccessPrediction Model of Red Tides in Fujian Sea Area Based on BP Neural Network
Author(s) -
Jingyan Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/2/022001
Subject(s) - red tide , normalization (sociology) , artificial neural network , economic shortage , computer science , meteorology , environmental science , artificial intelligence , oceanography , geography , geology , linguistics , philosophy , sociology , government (linguistics) , anthropology
This paper presented a new model of the red tide in Fujian Province by BP neural network (BPNN) based on five sets of marine condition data between 2015 to 2019. Data cleansing and normalization were applied before the training. The 12-fold cross-validation reduced the shortage of data. As a result, this model could get a related correct prediction of red tide in this particular area.