Soft sensor model based on LS SVM is applied to predication of frozen point of light diesel oil.
将基于最小二乘支持向量机的软测量模型应用于轻柴油凝固点的预估。
The simulation on the platform of sewage disposal is made for the soft sensor model of biochemical oxygen demand (BOD) and some better results are obtained.
在污水处理过程仿真平台展开验证 工作，对生化需氧量BOD的软测量进行建模，获得了良好的实验结果。
In this paper, soft sensor modeling method based on Least Square SVM (LS SVM) is proposed, and cross validation method is used to select hyper-parameter of LS SVM model.
本文研究了基于最小二乘支持向量机的软测量建模方法，并用交叉验证的方法进行支持向量机参数选择。
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。
Expert system can use experts' knowledge and experience to ratiocinate, judge and make decision, which is an effective way to construct the soft-sensor hybrid model.
专家系统能够运用专家的知识与经验进行推理、判断和决策，是解决生物量软测量混合模型构建的有效方法。
Therefore, researching expert system knowledge organization method and knowledge base is meaningful theoretically for structuring soft-sensor hybrid model.
因此，研究专家系统知识组织方法和知识库对于生物量软测量混合模型结构的构建具有重要的理论意义。
Therefore, researching expert system knowledge organization method and knowledge base is meaningful theoretically for structuring soft-sensor hybrid model.
因此，研究专家系统知识组织方法和知识库对于生物量软测量混合模型结构的构建具有重要的理论意义。
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