Neural network technologies in economics. Study aid

Об издании

The study aid covers the use in economics of a number of end-to-end technologies, such as “Artificial Intelligence” and “Neurotechnologies, Virtual and Augmented Reality Technologies”. The publication examines the use of neural network technologies in economic problems, such as assessing the financial and economic condition and creditworthiness of enterprises. In addition to basic information about neural networks and packages for working with them, such as Statistica Neural Networks and Neural Networks Toolbox of the Matlab system, the theoretical foundations for diagnosing the state of enterprises are given and the creation of 11 neural networks that implement this task in practice is shown. In addition, problems are proposed for independent solution in the Statistica Neural Networks and Neural Networks Toolbox packages of the Matlab system, as well as test questions for each chapter. The study aid is intended for students of enlarged groups of training areas “Mathematics and Mechanics”, “Informatics and Computer Science”, “Economics and Management”, studying the disciplines “Neural Network Technologies”, “Neural Network Technologies in the Processing of Economic Information”, “Information Systems in Economics”. It will be useful for researchers, graduate students, financial directors, managers, auditors, employees of credit institutions, etc.

Библиографическая запись

Kovalenko, A. V. Neural network technologies in economics : study aid / A. V. Kovalenko, E. V. Kazakovtseva. — Москва : Ай Пи Ар Медиа, 2024. — 174 c. — ISBN 978-5-4497-3189-0. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/141107.html (дата обращения: 06.08.2024). — Режим доступа: для авторизир. пользователей