Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2016-11-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/2684.pdf |
| _version_ | 1827609126135398400 |
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| author | Ruijing Gan Ni Chen Daizheng Huang |
| author_facet | Ruijing Gan Ni Chen Daizheng Huang |
| author_sort | Ruijing Gan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T07:26:46Z |
| format | Article |
| id | doaj.art-04c2dc033fcc44229b5ab1e2815c9195 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T07:26:46Z |
| publishDate | 2016-11-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-04c2dc033fcc44229b5ab1e2815c91952023-12-03T06:52:14ZengPeerJ Inc.PeerJ2167-83592016-11-014e268410.7717/peerj.2684Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks modelsRuijing GanNi ChenDaizheng HuangThis 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.https://peerj.com/articles/2684.pdfForecastingHepatitisNeural networks methodEvaluation |
| spellingShingle | Ruijing Gan Ni Chen Daizheng Huang Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models PeerJ Forecasting Hepatitis Neural networks method Evaluation |
| title | Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models |
| title_full | Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models |
| title_fullStr | Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models |
| title_full_unstemmed | Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models |
| title_short | Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models |
| title_sort | comparisons of forecasting for hepatitis in guangxi province china by using three neural networks models |
| topic | Forecasting Hepatitis Neural networks method Evaluation |
| url | https://peerj.com/articles/2684.pdf |
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