machine learning

The article describes the research of the peculiarities of methods and algorithms for the recognition of mathematical expressions. The possibility of simultaneous execution of structural analysis and classification of characters is investigated. The process of classification of the symbols and construction of the corresponding system, based on methods of machine learning, is described. The developed iterative algorithm is implemented in the design of the intelligent information system for the recognition of mathematical expressions.

In this article is considered the algorithm of logistic regression and construction of the neural network for the recognition of handwritten symbols in the image. Examples of implementation of two approaches for solving the problem of numerical recognition are given. The efficiency of using a neural network, as the provision of the most reliable recognition results, is explored.