Abstract
This paper studies the modeling method of soft measurement based on the permeability of index sintering process. Soft sensor modeling can use three kinds of methods, neural network, fuzzy control and adaptive fuzzy neural network of soft measurement based on subtraction clustering. Through analysis various soft sensor modeling methods and experimental data, Subtraction clustering adaptive fuzzy neural network method has a very good convergence, and also it has highly precision of prediction, smaller test error, so the method very suitable for the engineering application.
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© 2011 Springer-Verlag Berlin Heidelberg
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Teng, J., Zhang, X. (2011). The Research of Soft Measurement Method Based on Sintering Process Permeability Index. In: Wang, Y., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25664-6_3
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DOI: https://doi.org/10.1007/978-3-642-25664-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25663-9
Online ISBN: 978-3-642-25664-6
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