Prediction of fetal weight based on back propagation neural network optimized by genetic algorithm

Prediction of fetal weight based on back propagation neural network optimized by genetic algorithm

Fetal weight is an important index to judge fetal development and ensure the safety of pregnant women. However, fetal weight cannot be directly measured. This study proposed a prediction model of fetal weight based on genetic algorithm to optimize back propagation (GA-BP) neural network. Using rando...

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Podrobná bibliografie
Hlavní autoři: Hong Gao, Cuiyun Wu, Dunnian Huang, Dahui Zha, Cuiping Zhou
Médium: Článek
Jazyk:English
Vydáno: AIMS Press 2021-05-01
Edice:Mathematical Biosciences and Engineering
Témata:
fetal weight
back propagation
neural network
genetic algorithm
prediction model
On-line přístup:http://www.aimspress.com/article/doi/10.3934/mbe.2021222?viewType=HTML

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http://www.aimspress.com/article/doi/10.3934/mbe.2021222?viewType=HTML

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