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 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.