Abstract
A neural network ensemble algorithm used in automatic target recognition (ATR) was designed based on multi-DSP mixture structure. It is formed a same type classifier under different size and initial condition by BP neural networks, and map every output of neural network into posteriori probability, then make weighted summation and judge. Real-time recognition was run by the neural networks ensemble system. The result showed that statistic recognition rate was up to 97 percent for 8 type object. The processing was finished in 30 ms. The recognition rate was better than single neural networks obviously.
| Original language | English |
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| Title of host publication | Proceedings - Third International Conference on Natural Computation, ICNC 2007 |
| Pages | 162-166 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 3rd International Conference on Natural Computation, ICNC 2007 - Haikou, Hainan, China Duration: 24 Aug 2007 → 27 Aug 2007 |
Publication series
| Name | Proceedings - Third International Conference on Natural Computation, ICNC 2007 |
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| Volume | 5 |
Conference
| Conference | 3rd International Conference on Natural Computation, ICNC 2007 |
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| Country/Territory | China |
| City | Haikou, Hainan |
| Period | 24/08/07 → 27/08/07 |
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Xu, T., & Ni, G. (2007). Research on algorithms of neural network ensemble with multi-dsp mixture structure. In Proceedings - Third International Conference on Natural Computation, ICNC 2007 (pp. 162-166). Article 4305035 (Proceedings - Third International Conference on Natural Computation, ICNC 2007; Vol. 5). https://doi.org/10.1109/ICNC.2007.614