The Control Data Method: A New Method of Modeling in Population Dynamics

Lin-Fei Nie and Zhi-Dong Teng

Journal of Applied Mathematics, 2013, vol. 2013, issue 1

Abstract: A novel modeling method for population dynamics is developed. Based on the classical Lotka‐Volterra model, we construct a new predator‐prey model with unknown parameters to simulate the behaviors of predator and prey. Using a the approximation property and the machine learning approach of artificial neural networks, a tuning algorithm of unknown parameters is obtained and the factual data of predator‐prey can be asymptotically stabilized using a neural network controller. Numerical examples and analysis of the results are presented.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1155/2013/326161

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2013:y:2013:i:1:n:326161

Access Statistics for this article

More articles in Journal of Applied Mathematics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().