Focal Model in the Pattern Recognition Problem

The article deals with the construction of a three-channel invariant classifier that has the properties of classifying the states of rail lines into a set of classes that are invariant to changes in the longitudinal resistance of the rail line and the transverse conductivity of the insulation of the ballast material. Invariance is achieved taking into account the change in the transverse conductivity of the insulation and the longitudinal resistance of the rail line while compiling systems of equations of state for rail lines, which are the decisive functions of the classifier. The article shows that the three-channel method allows for the correct recognition of all three classes of rail line states by three decision functions with arguments - voltages and currents at the input and output of the rail line. The block diagram of the operation algorithm of the three-channel classifier of the states of the rail lines allows to form the recognition process and the majority classification depending on the states of the channels. The feasibility of the algorithm is confirmed by simulation studies on a mathematical model and graphical results.

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Focal Model in the Pattern Recognition Problem

Cited by 7 publications

References 10 publications

Focal Curves in the Problem of Representing Smooth Geometric Shapes

Focal Curves in the Problem of Representing Smooth Geometric Shapes

Polypolar Coordination by the Multifocal Lemniscates

Development of a multi-channel classifier of rail line states

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