| 一种改进的主汽温过程模型神经网络辨识方法 |
| |
| 引用本文： | 侯炜,田沛,常虹. 一种改进的主汽温过程模型神经网络辨识方法[J]. 电力系统及其自动化学报, 2003, 15(4): 74-75,100 |
| |
| 作者姓名： | 侯炜 田沛 常虹 |
| |
| 作者单位： | 华北电力大学动力工程系,保定,071003 |
| |
| 摘 要： | 介绍了一种用RBF网络进行主汽温系统辨识的一种方法，采用串一并联型的辨识结构，其输入为待辨识对象的输入和输出，导师信号为待辨识对象的输出，隐层的结构函数采用高斯函数，训练时的输入信号采用阶跃信号与白噪声信号的叠加信号，仿真结果表明，这种方法对系统有非常好的辨识能力。
|
| 关 键 词： | 锅炉 主汽温系统 系统辨识 神经网络 高斯函数 |
A AMELIORATIVE METHOD OF MAIN STEAM TEMPERATURE RECOGNITION BY USING NEURAL NETWORK |
| |
| Hou Wei,Tian Pei,Chang Hong. A AMELIORATIVE METHOD OF MAIN STEAM TEMPERATURE RECOGNITION BY USING NEURAL NETWORK[J]. Proceedings of the CSU-EPSA, 2003, 15(4): 74-75,100 |
| |
| Authors: | Hou Wei Tian Pei Chang Hong |
| |
| Abstract: | The paper introduces a method of main steam temperature recognition by using RBF network.The structure of recognition is series parallel structure,and the inputs of RBF are the inputs and outputs of the object.The teacher signal is the output of the object and the function of hidden layer is Gauss function.The training signal is the overlaying signal of step signal and white noise.The simulation shows that the method can recognize the system perfectly. |
| |
| Keywords: | RBF network main steam temperature system recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
