| 基于神经网络的软测量技术及应用 |
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| 引用本文： | 吴晓汉 王金春. 基于神经网络的软测量技术及应用[J]. 自动化与仪器仪表, 1998, 0(2): 16-19 |
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| 作者姓名： | 吴晓汉 王金春 |
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| 作者单位： | 浙江大学!杭州，310027 |
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| 摘 要： | 软测量是一门新兴的工业技术，它借助现代估计理论构造模型推断出工程上难以检测的变量。本文提出了基于径向基函数神经网络（RBFNN）的软测量技术，并且结合工艺机理分析和过程数据关联，对其在轻柴油凝固点软测量的应用进行了研究。结果表明，RBFNN的良好的非线性动态建模能力使其在软测量中具有很大的应用潜力。
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| 关 键 词： | 软测量 神经网络 动态建模 |
Neural Network Based Soft-sensing Technique and Its Applications |
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| Wu Xiaohan. Neural Network Based Soft-sensing Technique and Its Applications[J]. Automation & Instrumentation, 1998, 0(2): 16-19 |
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| Authors: | Wu Xiaohan |
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| Abstract: | Soft-sensing is a newly-developed industrial technique which by means of modem modelling technique can provide inferences of variabes hard to be measured. In this paper, radial basis function neural networks (RBFNN )based soft-sensing is proposed. It, combining with the analysis of process principles and correlation of the process data, can be applied to the soft-sensing of the light cycles oil freeze point. The result shows that RBFNN has fine capability of nonlinear dynamic modelljng. |
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| Keywords: | Soft-Sensing Radial Basis Function Neural Network Dynamic Modelling |
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