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Linear modeling using topological indices

We start our investigation with 30 topological indices contained inWlOLGEN-QSPR (see Appendix A)  [Pg.255]

First we reduce the corresponding set of descriptors since there are various dependencies  [Pg.255]

Since there are only single bonds and no heteroatoms in decanes, and are identical. Therefore we exclude x X- By definition, the molecular formula [Pg.255]

The remaining 18 descriptors are obtained from the following functions  [Pg.255]

Randomization experiments were performed to compare our models with the random results. Thus, 50 random numbers were defined as a pseudo-y vector, as well as 18 vectors of 50 random numbers acting as pseudodescriptors. By searching all subsets, the best fitting combination of n pseudodescriptors was obtained. For a constant n, 100 such runs were performed, each on a fresh set of random numbers. The highest random F from each run was recorded. The mean highest random (mkrR ) and its standard deviation (stdev) were calculated and are as follows  [Pg.259]


See other pages where Linear modeling using topological indices is mentioned: [Pg.255]    [Pg.267]    [Pg.105]    [Pg.134]    [Pg.102]    [Pg.114]    [Pg.139]    [Pg.1931]    [Pg.356]   


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