Project of Information System for the Recognition Ofmathematical Expressions
Journal Title: Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì - Year 2018, Vol 901, Issue
Abstract
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.
Authors and Affiliations
Oleh Veres, Igor Ryshniak, Tomash Tsyup’yak
Keywords
Related Articles
- EP ID EP575924
- DOI -
- Views 153
- Downloads 0
The Use of Contextual Graphs for Decision Support in Recruiting
Taking in consideration the current context is an important requirement for knowledge based systems. The article discusses the application of context-sensitive decision support in the area of employment solutions providi...
Methods of forming matrices of timetables based on the use of modified permanent
In this article is proposed the technique of schedule matrices analysis for scheduling task based on the certain modifications of permanent. The proposed method of schedule construction use various configurations and rep...
The figurative approach to calculate the amount of information and estimates its values
Existent approaches to determination of basic concepts of information theory, coming from the statistical reasoning (classic approach), theory of algorithms (algorithmic approach) and theory of pattern recognition (vivid...
The analysis of impact on wireless networks delay performance of EDCA access categories number adjustment
In this paper an adaptive ACs (Access Categories) number adjusting algorithm for the EDCA (Enhanced Distributed Channel Access) scheme is proposed. It has been shown that the total performance of the wireless network can...
Sequential kernel fuzzy clustering of big data based on computational intelligence hybrid system
The architecture and self-learning method of hybrid neuro-fuzzy systems for big fuzzy clustering in on-line mode are proposed in this paper. The architecture of proposed system represents the hybrid of the fuzzy general...