The application results demonstrated that the accuracy of soft-sensor model was greatly improved with the introduction of time delay estimation. Besides,the effectiveness of the proposed HDE was confirmed.
以石油炼制工业中典型装置常压塔为例,对其一线航空煤油的闪点软测量进行了应用验证,结果表明,时延参数估计的引入大大提高了软测量模型的精度,证实了混合差分进化算法的有效性。
参考来源 - 基于混合差分进化算法的软测量时延参数估计·2,447,543篇论文数据，部分数据来源于NoteExpress
When introducing the hierarchical fuzzy system in soft sensor modeling, the rational structure of the fuzzy system is very important to the performance of the soft sensor model.
在采用递阶模糊系统进行软测量建模时，合理的模糊系统结构对于提高模型的性能具有重要的意义。
The core problem of soft sensor is to construct appropriate mathematic model.
软测量技术的核心问题是建立优良的软测量数学模型。
Several model building methods for the soft sensor are described, including regression analysis and neural networks.
探讨了软测量常用的几类建模方法，包括回归分析和神经网络。
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