| 模糊神经网络提高光栅传感器分辨力 |
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| 引用本文： | 刘清. 模糊神经网络提高光栅传感器分辨力[J]. 传感器与微系统, 2003, 22(8): 69-71 |
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| 作者姓名： | 刘清 |
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| 作者单位： | 河海大学,水利水电学院,江苏,南京,210042;南京师范大学,计算机科学系,江苏,南京,210042 |
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| 基金项目： | 江苏省教育厅自然科学研究基金(2001SXXTSJB111)的资助 |
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| 摘 要： | 针对当前提高光栅传感器分辨力方法的一些不足,对用模糊小脑神经网络提高光栅传感器分辨力进行了研究。研究表明,通过少量样本点的学习,用神经网络拟合出光栅传感器的传输特性,对任意输入值,经神经网络泛化后,产生高分辨力的输出值,并通过仿真验证了该研究的有效性。
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| 关 键 词： | 光栅传感器 分辨力 模糊 神经网络 |
| 文章编号： | 1000-9787(2003)08-0069-03 |
| 修稿时间： | 2003-03-12 |
Optical grating transducer resolution enhancement using fuzzy neural networks |
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| LIU Qing. Optical grating transducer resolution enhancement using fuzzy neural networks[J]. Transducer and Microsystem Technology, 2003, 22(8): 69-71 |
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| Authors: | LIU Qing |
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| Abstract: | Taking into account the flaw that enhances optical grating transducer resolution currently, a new method that enhances optical grating transducer resolution with FCMAC and neural networks is studied.The research shows that the networks can close with transducer input and output essence through learning by modicum specimens,when any data is inputted,the networks have high resolution output data. The simulation study results show that the method is availability. |
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| Keywords: | optical grating transducer resolution fuzzy neural networks |
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