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.
"The Control Data Method: A New Method of Modeling in Population Dynamics." J. Appl. Math. 2013 1 - 8, 2013. https://doi.org/10.1155/2013/326161