Analysis of chaotic population dynamics using artificial neural networks

Abstract This paper describes a method of modeling the complex population oscillations defined by a chaotic Verhulst animal population simulation. A predictive artificial neural network model is developed and tested. Computer simulation results are given. Results show that the artificial neural network model predicts chaotic Verhulst dynamics regardless of the initial condition within a limited growth rate interval.