z-logo
open-access-imgOpen Access
The Control Data Method: A New Method of Modeling in Population Dynamics
Author(s) -
Linfei Nie,
Zhidong Teng
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/326161
Subject(s) - artificial neural network , population , computer science , control theory (sociology) , dynamics (music) , predation , mathematics , property (philosophy) , controller (irrigation) , control (management) , mathematical optimization , artificial intelligence , ecology , philosophy , physics , demography , epistemology , sociology , acoustics , agronomy , biology
A novel modeling method for population dynamics is developed. Based onthe classical Lotka-Volterra model, we construct a new predator-prey model with unknownparameters to simulate the behaviors of predator and prey. Using a the approximation propertyand the machine learning approach of artificial neural networks, a tuning algorithm of unknownparameters is obtained and the factual data of predator-prey can be asymptotically stabilizedusing a neural network controller. Numerical examples and analysis of the results are presented

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom