2005Journal of Kunming University of Science and TechnologyRequires access

Design and Implementation of the Virtual Instrument Based on Neural Network Softsensing

Wang He-shang

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Abstract

A method of the hybrid programming of MATLAB and LabVIEW with MATLAB Script node is proposed , and the neural network soft_ sensing forecasting of effluent quality of sewage treatment is implemented by using this method. Compared with other single-language programming methods, this one possesses bigger flexiblity and practical nature.It is possible that the complicated control arithmetic melts into virtual instrument and soft_sensing technique.

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What this paper is about

A method of the hybrid programming of MATLAB and LabVIEW with MATLAB Script node is proposed , and the neural network soft_ sensing forecasting of effluent quality of sewage treatment is implemented by using this method. Compared with other single-language programming methods, this one possesses bigger flexiblity and practical nature.It is possible that the complicated control arithmetic melts into virtual instrument and soft_sensing technique.

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Available abstract

A method of the hybrid programming of MATLAB and LabVIEW with MATLAB Script node is proposed , and the neural network soft_ sensing forecasting of effluent quality of sewage treatment is implemented by using this method. Compared with other single-language programming methods, this one possesses bigger flexiblity and practical nature.It is possible that the complicated control arithmetic melts into virtual instrument and soft_sensing technique.

Key concepts: MATLAB, Artificial neural network, Computer science, Virtual instrument, Control engineering, Node (physics), Control (management), Quality (philosophy)

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