Immunological method of the railway vehicle's parts localization based on the clonal selection algorithm

Abstract

Immunological method of the railway vehicle's parts localization based on the clonal selection algorithm

Lebedev A.I., Kucherenko P.A., Gorin A.V.

Incoming article date: 15.12.2015

This article is considered Immunological method of the railway vehicle's parts localization based on the clonal selection algorithm. The advantage of this approach is the use of one-class support vector machine, which allows classifier training with only positive examples. The suggested approach significantly reduces complexity and formation of the training sample set. Immunological localization method has high performance characteristics due to the hybrid application one-class support vector machine and clonal selection algorithm. This allows to optimize the procedure of objects finding in the analyzed image

Keywords: Immunological localization method, clonal selection algorithm, one-class support vector machine