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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changjun Zhu Jihong Zhou Qin Ju Dedong Liu |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Urban Constr., Hebei Univ. of Eng., Handan (Changjun Zhu; Jihong Zhou) |
| Abstract | In view of the defect that the gray method can only predict the tendency approximately and artificial neural network can not predict the future tendency really, a new organic gray neural network model was proposed by the advantages of GM(1,1),unbiased GM(1,1) and BP neural network. The two groups data got from the gray model are used as the input of the neural network and the origin data are used as the output of neural network. The neural network was trained to get the optimal structure of neural network. According to the dynamic law of groundwater quality in some region, the groundwater quality was predicted in organic gray neural network model. The results show that the model had highly fitting and predicting precision advantages than other model had. |
| Starting Page | 3168 |
| Ending Page | 3171 |
| File Size | 235785 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424417476 |
| DOI | 10.1109/ICBBE.2008.1121 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hydrology Neural networks Artificial neural networks Differential equations Predictive models Educational institutions Resource management Environmental management Water resources Quality management |
| Content Type | Text |
| Resource Type | Article |
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