Data Dynamic Reconciliation for Quality Index Software Detecting Model of Polyacrylonitrile
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Graphical Abstract
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Abstract
The input data is weighted in terms of the distributed connection for polymeric process and polymeric time, and the estimated results are glidingly averaged, so that software detecting precision is greatly improved and estimated results are considerably stable in a quality index software detecting model of polyacrylonitrile. Satisfactory field running results testify the necessity of data dynamic reconciliation.
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