APPLICATION OF NEURAL NETWORK ALGORITHMS AND STATISTICAL FORECASTING MODELS FOR AUTOMATION OF PROJECT MANAGEMENT PROCESSES

Efimtsev Stanislav Maksimovich, Zhurankov Maxim Alexandrovich, Melnikov Denis Alexandrovich

In the modern world, the process of managing technological projects is actively developing: new methodologies are being used, existing management models are being updated, new tools are being introduced to organize and monitor the work of employees of various companies. One of these tools is a neural network, a software based on mathematical models simulating the functioning of biological networks of nerve cells. Thanks to them and a voluminous knowledge base, it is possible to bring machine text answers as close as possible to human-like ones. Thus, with sufficient initial data, it is possible to train an algorithmic model to solve simple control tasks. This article examines and analyzes the subject area, designs and prototypes a neuro-network machine learning model in the Python 3 programming language to automate the processes of distribution and decomposition of work tasks between employees of the information project development team.

Keywords:project management, tasks allocation, machine learning, Python, neural network, text classification, logistic regression.