2013
DOI: 10.1007/s00604-012-0938-7
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Comparison of methods for the processing of voltammetric electronic tongues data

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Cited by 79 publications
(51 citation statements)
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“…Once calculated the root mean square error (RMSE) [31], the best model will be the one that has the lowest RMSE values and additionally, regression parameters from the comparison graphs close to the ideal values (i.e. slope and correlation coefficient equal 1, and intercept equal 0).…”
Section: Quantification Of the Metal Mixturesmentioning
confidence: 99%
“…Once calculated the root mean square error (RMSE) [31], the best model will be the one that has the lowest RMSE values and additionally, regression parameters from the comparison graphs close to the ideal values (i.e. slope and correlation coefficient equal 1, and intercept equal 0).…”
Section: Quantification Of the Metal Mixturesmentioning
confidence: 99%
“…The use of a pre-processing stage also avoids redundancies in input data and provides a model with better generalization ability (Cetó et al 2013a). And despite not being a requirement for some of the standard chemometric modelling tools (e.g.…”
Section: Signal Compressionmentioning
confidence: 99%
“…Further description of these methods can be found in Cetó et al (2013a), Ni and Kokot (2008), Richards et al (2002) and Kumar et al (2014), and their main advantages and drawbacks are summarized in Table 2.…”
Section: Modelling: Quantitative Analysismentioning
confidence: 99%
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“…If the latter is to be faithfully preserved, recent multiway methods may be also applied in the ET % of publications data treatment, such as PARAFAC in the qualitative applications or nPLS in quantitative modelling. Particularly useful for researchers in the field are some comparative studies in which different methods may be contrasted to see which one may show better performance [28].…”
Section: Chemometric Toolsmentioning
confidence: 99%