| 基于模糊神经网络的软测量结果评价方法 |
| |
| 引用本文： | 程留恩,常玉清,蔺田,王福利. 基于模糊神经网络的软测量结果评价方法[J]. 冶金自动化, 2002, 26(3): 15-16,30 |
| |
| 作者姓名： | 程留恩 常玉清 蔺田 王福利 |
| |
| 作者单位： | 1. 冶金自动化研究设计院,北京,100071
2. 东北大学 |
| |
| 摘 要： | 在许多工业过程中，软测量技术在一些较难测量的变量估计中有很重要的,量到目前为止，对于软测量技术的研究主要集中在建模方法、模糊校正等问题上。本文提出了一种基于模糊神经网络的软测量结果评价方法，通过仿真证明了该方法的有效性。
|
| 关 键 词： | 模糊神经网络 软测量 评价 CSTR |
| 文章编号： | 1000-7059(2002)03-0015-02 |
FNN-based assessment model for soft sensing outputs |
| |
| CHENG Liu en,CHANG Yu qing,LIN Tian,WANG Fu li. FNN-based assessment model for soft sensing outputs[J]. Metallurgical Industry Automation, 2002, 26(3): 15-16,30 |
| |
| Authors: | CHENG Liu en CHANG Yu qing LIN Tian WANG Fu li |
| |
| Affiliation: | CHENG Liu en1,CHANG Yu qing2,LIN Tian2,WANG Fu li2 |
| |
| Abstract: | In most of the processes, soft sensors often work effectively to measure variables that are hard to measure by instruments. So far, the research of soft sensing is concentrated on the model building methods, model modification and so on. In this paper, a fuzzy neural network based model for assessment to soft sensing outputs is proposed. Simulation results show that the proposed model is valid. |
| |
| Keywords: | fuzzy neural networks soft sensing assessment CSTR |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
