Key words
neural networks, convolutional neural network model, computer vision, neural network architecture, machine learning, interface
articles
Authors:
Trubin A., Aleksakhina S., Batishchev A., Mastyaev F. A., Zaytsev A. Published in
№ 3(105)
16 june 2023 year
Rubric: Laboratory
Rubric: Laboratory
User interface modeling for convolutional neural network for complex character recognition
In this article, we design a user interface for a prototype desktop application using the capabilities of the author’s neural network for recognizing texts in Japanese written by one of the two Japanese alphabets – katakana or hiragana. During the design, the UML notation, a Use-Case Diagram, was used to build scenarios for using the program, and the BPMN notation was used to describe a program’s main algorithm. In the beginning of this article short versions of previous two articles were also given – the basics of proposed method for preprocessing of machine learning data and the main parameters of the proposed convolutional neural network model including its efficiency against reference model EfficientNetB0. In the work, the principles and the tool base for designing the interface of the software solution were defined, the scenarios for using the program, the algorithms of the program were designed, a prototype of the user interface was created.
The author:
Trubin A.
Degree:
Cand. Sci. (Econ.), Associate Professor, Director of the Digital Economy Department, Synergy University
Location:
Moscow, Russia
All articles:
The method of preprocessing machine learning data for solving computer vision problems
User interface modeling for convolutional neural network for complex character recognition
Designing an applied software product for emotion recognition and evaluation using a neural network
Improvement of contactless fare payment by ground urban passenger transport based on geolocation
The author:
Aleksakhina S.
Degree:
Senior Lecturer, Digital Economy Department, Synergy University
Location:
Moscow, Russia
All articles:
The author:
Batishchev A.
Degree:
Cand. Sci. (Econ.), Associate Professor, Head of the Artifi Intelligence and Data Analysis Department, Synergy University
Location:
Moscow, Russia
All articles:
The author:
All articles:
The author:
Zaytsev A.
Degree:
Cand. Sci. (Eng.), Associate Professor, Digital Economy Department, Synergy University
Location:
Moscow, Russia
