DOUBLE APPROACH MODELING OF TP-  TABLE IN MASS FLOW-METER OF SUPERHEATED STEAM - COMBINED APPLICATION OF ARTIFICIAL NEURAL NETWORK AND SYSTEM IDENTIFICATION

• Abstract:

  In this paper a method based on combining Artificial Neural Network (ANN) training technique and Non-linear Least-square Linear in StructureSystem Identification technique for Double Approach Modeling the TP-Table in Mass Flow-meter is introduced. The model has several advantages such as saving calculation workload and storage space, having essential filterability of ANN Statistical Model. Thus the method provides a reliable way for realizing the current development for high- degree integration of measuring and instrumentation technology.
• Keywords:

  artificial neural network, non-linear system identification, mass flow measurement
• Download:

  IMEKO-TC9-2000-090.pdf
• DOI:

  _unreg_tc9-2000.090

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