质量流量计(T,p)-/spl rho/表的建模技术

SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545) Pub Date : 2000-07-26 DOI:10.1109/SICE.2000.889659

Han Jian-guo, Wu You-Hua, Liu Jiu-Xi

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引用次数: 0

摘要

介绍了一种基于模糊推理自适应人工神经网络训练技术和非线性最小二乘(线性结构)系统辨识技术的质量流量计(T,P)-/spl rho/表建模方法。该模型具有节省计算量和存储空间、具有良好的可过滤性等优点。因此，该方法为当前测量仪器高度集成技术的发展提供了有效的帮助。

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Modeling technology for (T,p)-/spl rho/ table in mass flow-meter

A method based on the training technology of a fuzzy inference adaptive artificial neural network and nonlinear least-square (linear in structure) system identification technology for modeling the (T,P)-/spl rho/ table for a mass flow-meter is introduced. The model has several advantages such as saving calculation workload and storage space, having essential filterability. Thus the method is an effective help for the current development of high-degree integration technology of measuring and instrumentation.

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SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545)

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