Synthesis of systems of neurofunctional transformations in classification problems
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Optimal synthesis of linear and nonlinear transformations is used to synthesize pattern recognition systems. The necessary and sufficient conditions for the existence of robust dichotomous linear separability of sets in feature space are represented in terms of pseudoinverse operations. The synthesis of classification systems is reduced to searching for the best nonlinear transformations of the components of the feature vector or optimal linear combinations of its components.
Keywordsclassification systems system synthesis pattern recognition pseudoinverse and projection matrices
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