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. © 2013 Lin-Fei Nie and Zhi-Dong Teng.
Nie, L. F., & Teng, Z. D. (2013). The control data method: A new method of modeling in population dynamics. Journal of Applied Mathematics, 2013. https://doi.org/10.1155/2013/326161