2 resultados para CNN

em Indian Institute of Science - Bangalore - Índia


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The molecular structure of methyl azide has been studied by the sector-microphotometer and the sector-visual methods of electron diffraction and the parameters determined as follows: C-N = 1.47 ± 0.02 Å., N1-N2 = 1.24 ± 0.01 Å., N2-N3 = 1.12 ± 0.01 Å. and <CNN = 120 ± 2°.

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A two-stage iterative algorithm for selecting a subset of a training set of samples for use in a condensed nearest neighbor (CNN) decision rule is introduced. The proposed method uses the concept of mutual nearest neighborhood for selecting samples close to the decision line. The efficacy of the algorithm is brought out by means of an example.