节点文献
采用鲁棒自联想神经网络高质量地恢复故障传感器信号方法研究
Research on Improvering the Signal Recovery Quality for the Failed Sensor Using Robust Autoassocative Neural Networks
【摘要】 以鲁棒自联想神经网络为基础阐述了故障传感器信号的恢复方法。并以一控制系统中的传感器为对象,首次研究应用了鲁棒自联想网络如何高质量地恢复故障传感器信号,最后给出了结论。
【Abstract】 This paper presents a method to recover the signal for failed sensor using robust autoassociative neural networks, and makes a research on how to improve the signal recovery of good quality for the failed sensor based on the method, at the first, and giving the conclusions finally.
【基金】 本文受高等学校博士点基金资助(9521308)
- 【文献出处】 传感技术学报 ,Journal of Transcluction Technology , 编辑部邮箱 ,1997年02期
- 【分类号】TP212
- 【被引频次】5
- 【下载频次】59