title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÑÐ¿ÐµÑÐ½Ð¾ÑÑÐ¸ Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¾Ð½Ð½ÑÑ Ð¿ÑÐ¾ÐµÐºÑÐ¾Ð²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Using neural networks and machine learning to predict the success of innovative projects
Creators: name: ÐÐ¸, ÐÐ¼Ð¸ÑÑÐ¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸ÐºÐ°
Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð¿ÑÐ¾ÐµÐºÑ
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÑÐ¿ÐµÑÐ½Ð¾ÑÑÐ¸
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ
Ð¾ÑÐµÐ½ÐºÐ° ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¼Ð¾Ð´ÐµÐ»Ð¸
Ð¼ÐµÑÐ¾Ð´ Ð¾ÑÐµÐ½ÐºÐ¸
innovation
innovative project
success forecasting
forecast model
model accuracy evaluation
estimation method

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description: Topic of the final qualification work: âUsing neural networks and machine learning to predict the success of innovative projectsâ. This work is devoted to the study of existing methods for predicting the success of innovative projects, as well as in developing a forecasting model for innovative projects based on data on innovative projects such as: project timeline, project profits, project budget, project implementation area, project team size, region. The tasks that were solved in the course of the study include the study of theoretical aspects of forecasting modeling, machine learning; consideration of the features of the machine learning device; analysis and processing of existing data on the success of innovative projects; analysis of available methods for assessing the accuracy, development and testing of a model for predicting the success of innovative projects, as well as development of recommendations for the model. In the course of the study, such methods as the analysis of statistical data and the analysis of scientific literature on the description of forecasting models were used.As a result, a model for predicting the success of innovative projects was developed and tested, as well as recommendations for its use. The developed method differs from already known models in that the model makes many versions of forecasting, each time relying on previous experience, choosing the most accurate one from all.