|
| 基于粗神经网络的并行自适应滤波算法 |
| Rough Neural Network Based Parallel Adaptive Filtering Algorithm |
| |
| DOI：10.3969/j.issn.1671-5322.2005.01.007 |
| 中文关键词: 粗神经网络 机动目标 跟踪算法 |
| 英文关键词: rough neutral network moving objectives tracking algorithm |
| 基金项目:航空一集团资助项目，航空第一集团基金 |
|
| 摘要点击次数: 3763 |
| 全文下载次数: 3190 |
| 中文摘要: |
| 讨论了机动目标跟踪问题,针对机动目标并行自适应滤波特点,结合粗神经网络特有的同一神经元可以双输入的特点,利用全状态反馈,提出了基于"当前"统计模型的粗神经网络并行自适应滤波算法,仿真表明该算法对机动目标具有较强的跟踪能力. |
| 英文摘要: |
| This paper proposes “Current" statistics mode based rough neural network parallel adaptive filtering algorithm with reference to its features with two inputs in the same neural element. The results of simulation shows that this algorithm has strong tracking ability to moving objectives. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |