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- Title
SUPERVISED PATTERN RECOGNITION WITH POTENTIAL FUNCTIONS METHOD.
- Authors
Ruxanda, Gheorghe
- Abstract
The article focuses on a study which provides an analysis of the potential functions method as supervised pattern recognition or nonlinear method. The study analyzes the theoretical fundamentals of the potential functions method by describing the constructing modality and the physical nature of the method featuring the law of interaction of two forces known as Coulomb law. It clarifies the classification criterion and the practical modality by using the potential functions method for supervised pattern recognition. The analysis shows that the potential functions method and the classification method of patterns are equal and reveals that potential function method is a nonlinear type method.
- Subjects
POTENTIAL theory (Mathematics); PATTERN perception; NONLINEAR statistical models; DISCRIMINANT analysis; ARTIFICIAL intelligence; MATHEMATICAL analysis; MATHEMATICAL models; KERNEL functions; PROBABILITY theory
- Publication
Economic Computation & Economic Cybernetics Studies & Research, 2009, Vol 43, Issue 2, p1
- ISSN
0424-267X
- Publication type
Article