A hybrid method of neural networks and genetic algorithm in econometric modeling and analysis

Hasheminia, H ; Sharif University of Technology | 2008

335 Viewed
  1. Type of Document: Article
  2. DOI: 10.3923/jas.2008.2825.2833
  3. Publisher: 2008
  4. Abstract:
  5. In this study a hybrid method of neural networks-genetic algorithms is proposed and applied in an economical case study. The results of this study show that the proposed hybrid algorithm is a more efficient modeling approach compared to either a single neural network method or a single genetic algorithm approach. Since modeling based on the observed data is also employed in other fields of science, the application of the proposed method is not restricted only to economics. © 2008 Asian Network for Scientific Information
  6. Keywords:
  7. Econometric model ; Econometrics model ; Genetic algorithm approach ; Hybrid algorithms ; Model approach ; Model-based OPC ; Neural networks and genetic algorithms ; Observed data ; Economics ; Neural networks ; Genetic algorithms
  8. Source: Journal of Applied Sciences ; Volume 8, Issue 16 , 2008 , Pages 2825-2833 ; 18125654 (ISSN)
  9. URL: https://scialert.net/abstract/?doi=jas.2008.2825.2833