Neural network technologies in economics study aid
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 financi...
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| LEADER | 02777nam0a2200373 4500 | ||
|---|---|---|---|
| 001 | RU/IPR SMART/141107 | ||
| 856 | 4 | |u https://www.iprbookshop.ru/141107.html |z Перейти к просмотру издания | |
| 801 | 1 | |a RU |b IPR SMART |c 20240904 |g RCR | |
| 010 | |a 978-5-4497-3189-0 | ||
| 205 | |a Neural network technologies in economics |b Весь срок охраны авторского права | ||
| 333 | |a Весь срок охраны авторского права | ||
| 100 | |a 20240904d2024 k y0rusy01020304ca | ||
| 105 | |a y j 000zy | ||
| 101 | 0 | |a rus | |
| 102 | |a RU | ||
| 200 | 1 | |a Neural network technologies in economics |e study aid |f A. V. Kovalenko, E. V. Kazakovtseva | |
| 700 | 1 | |a Kovalenko, |b A. V. |4 070 | |
| 701 | 1 | |a Kazakovtseva, |b E. V. |4 070 | |
| 330 | |a 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. | ||
| 210 | |a Москва |c Ай Пи Ар Медиа |d 2024 | ||
| 610 | 1 | |a neural network technologies | |
| 610 | 1 | |a financial condition | |
| 610 | 1 | |a economic condition | |
| 610 | 1 | |a creditworthiness | |
| 610 | 1 | |a neural network | |
| 675 | |a 336.6 | ||
| 686 | |a 65.05 |2 rubbk | ||
| 300 | |a Книга находится в премиум-версии IPR SMART. | ||
| 106 | |a s | ||
| 230 | |a Электрон. дан. (1 файл) | ||
| 336 | |a Текст | ||
| 337 | |a электронный | ||
| 503 | 0 | |a Доступна эл. версия. IPR SMART | |
| 215 | |a 174 с. | ||