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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Lin-Fei Nie, Zhi-Dong Teng
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/326161
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832551361297776640
author Lin-Fei Nie
Zhi-Dong Teng
author_facet Lin-Fei Nie
Zhi-Dong Teng
author_sort Lin-Fei Nie
collection DOAJ
description 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.
format Article
id doaj-art-b51eb75a5d0a469cbdf9dea53bfa5caa
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-b51eb75a5d0a469cbdf9dea53bfa5caa2025-02-03T06:01:39ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/326161326161The Control Data Method: A New Method of Modeling in Population DynamicsLin-Fei Nie0Zhi-Dong Teng1College of Mathematics and Systems Science, Xinjiang University, Urumqi 830046, ChinaCollege of Mathematics and Systems Science, Xinjiang University, Urumqi 830046, ChinaA 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.http://dx.doi.org/10.1155/2013/326161
spellingShingle Lin-Fei Nie
Zhi-Dong Teng
The Control Data Method: A New Method of Modeling in Population Dynamics
Journal of Applied Mathematics
title The Control Data Method: A New Method of Modeling in Population Dynamics
title_full The Control Data Method: A New Method of Modeling in Population Dynamics
title_fullStr The Control Data Method: A New Method of Modeling in Population Dynamics
title_full_unstemmed The Control Data Method: A New Method of Modeling in Population Dynamics
title_short The Control Data Method: A New Method of Modeling in Population Dynamics
title_sort control data method a new method of modeling in population dynamics
url http://dx.doi.org/10.1155/2013/326161
work_keys_str_mv AT linfeinie thecontroldatamethodanewmethodofmodelinginpopulationdynamics
AT zhidongteng thecontroldatamethodanewmethodofmodelinginpopulationdynamics
AT linfeinie controldatamethodanewmethodofmodelinginpopulationdynamics
AT zhidongteng controldatamethodanewmethodofmodelinginpopulationdynamics