Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models | Zendy

Rui-Jing Gan | Zendy; Ni Chen | Zendy; Daizheng Huang | Zendy

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Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models

Author(s) -

Rui-Jing Gan,

Ni Chen,

Daizheng Huang

Publication year - 2016

Publication title -

peerj

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.927

H-Index - 70

ISSN - 2167-8359

DOI - 10.7717/peerj.2684

Subject(s) - artificial neural network , computer science , artificial intelligence , data set , genetic algorithm , data mining , set (abstract data type) , wavelet , machine learning , statistics , pattern recognition (psychology) , mathematics , programming language

This study compares and evaluates the prediction of hepatitis in Guangxi Province, China by using back propagation neural networks based genetic algorithm (BPNN-GA), generalized regression neural networks (GRNN), and wavelet neural networks (WNN). In order to compare the results of forecasting, the data obtained from 2004 to 2013 and 2014 were used as modeling and forecasting samples, respectively. The results show that when the small data set of hepatitis has seasonal fluctuation, the prediction result by BPNN-GA will be better than the two other methods. The WNN method is suitable for predicting the large data set of hepatitis that has seasonal fluctuation and the same for the GRNN method when the data increases steadily.

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