Assessment Systems for Student Startups Based on Neural Networks Technologies

Abstract

The article explores the process of developing a system for evaluating business ideas for start-up projects based on the SWOT framework using neural network technologies for use by students and aspiring entrepreneurs based on a trained model. The design stages are considered, which include the development of the client and server sides of a web application, the creation of an interactive application interface for filling out a form, the training of basic and extended neural networks, the development of an experimental sample of a system for analyzing business ideas on business frameworks using neural networks, and also an experimental comparison of the effectiveness of training of various architectures of neural networks, an analysis of the criteria for evaluating business projects using the SWOT framework was carried out in accordance with the designated tasks.

Keywords

• application interface
• neural network
• framework
• forecasting
• web application
• application back end
• neural network model