Tenders Classification System Design Using Artificial Neural Network

Student: Burlakov Evgeniy

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Software Engineering (Bachelor)

Final Grade: 7

Year of Graduation: 2019

The paper describes the tenders classification system design using artificial neural network. The system as a whole and the current implementation of the category definition system are considered, its shortcomings are revealed. Analyzed methods for automatic data classification. Designed neural network for the classification of tenders. Design and development of a category definition system and a neural network is described. The first chapter is devoted to the analysis of the subject area, the formation of system requirements and the justification of the methods used in the implementation. In the second chapter, the system is designed, the work model is presented, and the architecture of the tender determination system is designed. The third chapter contains details on the implementation of data preparation methods, neural network training and system design.

Full text (added June 4, 2019)

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