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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zheng Jianguo Liu Fang Jiao Licheng |
| Copyright Year | 2002 |
| Description | Author affiliation: Hubei Automotive Industries Inst., Shiyan, China (Zheng Jianguo) |
| Abstract | Based on analyzing the immune phenomena in nature and utilizing performances of the existent artificial neural network, a novel network structure, IMVFEWNN (immune multiple variant function estimation wavelet neural network), is proposed which integrates the immune mechanism and the structure of neural information processing. The analysis in theory and the simulation test for a data mining problem show that, compared with the artificial neural network, IMVFEWNN is not only effective but also feasible. |
| Sponsorship | Chinese Inst. Electron. IEEE Signal Process. Soc. IEEE URSI IEEE Beijing Sect. Nat. Natural Sci. Found. China China Committee for URSI IEEE Comput. Soc. Beijing Chapter IEEE SP Soc. Beijing Chapter |
| Starting Page | 1233 |
| Ending Page | 1236 |
| File Size | 281514 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780374886 |
| DOI | 10.1109/ICOSP.2002.1180014 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-08-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Immune system Neural networks Intelligent networks Automotive engineering Radar Signal analysis Neodymium Testing Spatial databases |
| Content Type | Text |
| Resource Type | Article |
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