The estimate of the length of the training sequence in the task of pattern recognition (bioindication)

Development of a pattern recognition system is comprised from a number of subtasks: formalization of the subject area, formation of a training sample, training of the recognition system, reduction of the dimensionality of the feature space, the problem of pattern recognition itself (based on the degree of similarity of the detected object with the training sample), recognition quality control, adaptation, inverse problem recognition, cluster and structural analysis, cognitive analysis. The article considers the formalization one of the subtasks (formation of the training sample). The conclusion about the "almost linear dependence" of the length of the training sequences and the dimensionality of the feature space is made using the proposed probabilistic model. Evaluation of the length of the training sequences for realistic values of model parameters is performed.