| 己知信号的计算机快速识别 |
| |
| 引用本文： | 李鲠颖,潘涛. 己知信号的计算机快速识别[J]. 波谱学杂志, 1996, 0(3) |
| |
| 作者姓名： | 李鲠颖 潘涛 |
| |
| 作者单位： | 上海华东师范大学分析测试中心，苏州铁道师范学院物理系 |
| |
| 基金项目： | 上海市科委＂青年科技启明星重点培养计划＂资助 |
| |
| 摘 要： | 从计算机模拟和１４Ｎ远程ＮＱＲ实验上研究了神经网络在对已知信号的自动识别问题．证实了多层网络的反向传播算法对解决这一问题的有效性．实验结果表明．在信噪比很低和存在很强的干扰条件下，Ｂ－Ｐ算法仍然保持了很高的识别率（≥９０％）．这在远程ＮＱＲ实际应用中是非常有意义的．
|
| 关 键 词： | 信号识别，神经网络，远程核四极共振 |
FAST RECOGNITION OF KNOWN SIGNAL BY COMPUTER |
| |
| Li Gengying and Pan Tao. FAST RECOGNITION OF KNOWN SIGNAL BY COMPUTER[J]. Chinese Journal of Magnetic Resonance, 1996, 0(3) |
| |
| Authors: | Li Gengying and Pan Tao |
| |
| Abstract: | Problems associated to signal automatic recognition by Neural Networks is studied with computer simulations and 14N remote NQR experiments.The effectiveness of the multiple layer back propagation algorithm for solving the problems is venfied.The experimental result indicates that,under the condition of very low signal-to-noise ratio and very strong interferences,the B-P algorithm still keeps a very high recognition (>90%).This is of significant improtance in remote NQR applications. |
| |
| Keywords: | Signal Recognition Neural networks Remote NQR |
| 本文献已被 CNKI 等数据库收录！ |
