A neural network forecasting model for integrated economic indicators
| Autor: | K. Yu. Gusev, V. L. Burkovskii |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Service (business)
Engineering Artificial neural network Operations research Mathematics::General Mathematics business.industry Fuzzy control system law.invention ComputingMethodologies_PATTERNRECOGNITION Economic indicator Control and Systems Engineering law ComputingMethodologies_GENERAL Electrical and Electronic Engineering business Remote control |
| Zdroj: | Automation and Remote Control. 74:1567-1572 |
| ISSN: | 1608-3032 0005-1179 |
| DOI: | 10.1134/s0005117913090129 |
| Popis: | This paper considers forecasting models for integrated economic indicators. The first model is implemented as a fuzzy system, and the second one represents a fuzzy-neural module. Finally, we study the possibility of using the fuzzy system as a service tool in the fuzzy-neural module. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|