@inproceedings{9fd5904b7b9a45f09d3cd27d0889a8ed,
title = "Research on algorithms of neural network ensemble with multi-dsp mixture structure",
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.",
author = "Tingfa Xu and Guoqiang Ni",
year = "2007",
doi = "10.1109/ICNC.2007.614",
language = "English",
isbn = "0769528759",
series = "Proceedings - Third International Conference on Natural Computation, ICNC 2007",
publisher = "IEEE Computer Society",
pages = "162--166",
booktitle = "Proceedings - Third International Conference on Natural Computation, ICNC 2007",
address = "United States",
note = "3rd International Conference on Natural Computation, ICNC 2007 ; Conference date: 24-08-2007 Through 27-08-2007",
}