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Towards Product Robust Quality Control with Sequential D-optimum Inputs Design
2015
Chemical Engineering Transactions
Recently, there is a high demand on companies for high quality, reliable products for a reasonable price in a timely manner. In order to provide such goods novel methods of product quality control are required to be developed and used in industrial practice. For example, it is possible to use methods based on analytical redundancy. In such approaches the effectiveness of the methods depends on the quality of a product model. This paper proposes a new methodology for improving the neural model
doi:10.3303/cet1543357
doaj:9b53648ed6f84ca9b4169b889be8fb28
fatcat:3lxf625rgrfnlegatd4pboo5wq