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