| 用人工神经网络求取铂热电阻测温电路最佳参数的计算方法 |
| |
| 引用本文： | 唐本峰,吴彦.用人工神经网络求取铂热电阻测温电路最佳参数的计算方法[J].仪表技术与传感器,1999(8):38-40. |
| |
| 作者姓名： | 唐本峰 吴彦 |
| |
| 作者单位： | 大连理工大学电磁系静电与特种电源研究所 |
| |
| 摘 要： | 文中建立了铂热电阻正反馈非线性校正电路与单结点神经网络之间的联系，利用神经网络训练的方法巧妙地解决了非线性解析表达式最小二乘拟合问题，求解精度高，编程方便。此方法也可用于其它有关领域。
|
| 关 键 词： | 铂热电阻 人工神经网络 非线性校正 非线性最小二乘 |
Algorithm of Temperature Measurement Circuit for Platinum Thermistor Using Artificial Neural Network |
| |
| Tang Benfeng\ Wu Yan\ Wang Ninghui Institute of Electrolstatic and Special Power Supply,Dalian University of Technology.Algorithm of Temperature Measurement Circuit for Platinum Thermistor Using Artificial Neural Network[J].Instrument Technique and Sensor,1999(8):38-40. |
| |
| Authors: | Tang Benfeng\ Wu Yan\ Wang Ninghui Institute of Electrolstatic and Special Power Supply Dalian University of Technology |
| |
| Affiliation: | Tang Benfeng\ Wu Yan\ Wang Ninghui Institute of Electrolstatic and Special Power Supply,Dalian University of Technology,116023 |
| |
| Abstract: | In order to linearize platinum thermistor sensor,a relationship between a positive feedback amplifier circuit and an artificial neural network(ANN)with single node is established. A non-linear least squares problem is solved masterly by training an ANN. The method is characterized by high precision and easy programming. It can also be used in other fields. |
| |
| Keywords: | Platinum Thermistor Sensor Artificial Neural Network Linearization Non-linear least Squares |
| 本文献已被 CNKI 维普 等数据库收录！ |
