The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The methods based on data mining in chemometrics are promising methods for studying the speciation of metals. Data mining of abundance data obtained by modern instrumentation needs to combine a number of multivariate data analysis methods. In this case, principal component analysis, evolving factor analysis and eigenstructure tracking analysis were applied to the study of the speciation of Cu (II)/sulphosalicylate/triethanol...
A novel method named WPTRBFN is presented in this paper. This method is based on radial basis function neural network (RBFN) with direct orthogonal signal correction (DOSC) and wavelet packet transform (WPT) as a pre-processing tool for the simultaneous differential pulse stripping voltammetric determination of Pb (II), Ni (II) and Cd (II). DOSC was applied to remove structured noise that is unrelated...
This paper suggests a novel method named DOSCWTGRNN, which is based on generalized regression neural network (GRNN) with direct orthogonal signal correction (DOSC) and wavelet transform (WT) as a preprocessing tool for the simultaneous spectrophotometric determination of o-nitro-aniline, m-nitro-aniline and p-nitro- aniline. DOSC was applied to remove structured noise that is unrelated to the concentration...
A novel method named OSCWPTPLS approach based on partial least squares (PLS) regression with orthogonal signal correction (OSC) and wavelet packet transform (WPT) as preprocessed tools was proposed for the simultaneous spectrophotometric determination of Al(III), Mn(II) and Co(II). This method combines the ideas of OSC and WPT with PLS regression for enhancing the ability of extracting characteristic...
A novel method named WPTRBF is presented in this paper. This method is based on radial basis function neural network (RBFN) with wavelet packet transform (WPT) as a pre-processing tool for the simultaneous differential pulse stripping voltammetric determination of Pb(II), Ni(II) and Cd(II). Wavelet packet representations of signals provide a local time-frequency description, thus in the wavelet packet...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.