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Article: Reports on intelligent laboratory systems findings from N. Bhatt and co-researchers provide new insights.
- Article from:
- Robotics & Machine Learning
- Article date:
- November 9, 2009
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According to recent research from Madras, India, "The accuracy of a multivariate calibration (MVC) model for relating concentrations of multicomponent mixtures to their spectral measurements depends on effective handling of errors in the measured data. For the case when error variances vary along only one mode (either along mixtures or along wavelengths), a method to estimate the error variances simultaneously along with the spectral subspace was developed by Narasimhan and Shah (Control Engineering Practice, 16, (2008),146-155)."
"This method was exploited by Bhatt et al. (Chemom. Intell. Lab. Syst., 85, (2007), 70-81) to develop an iterative principal component ...