A parameter-estimation framework for Lotka-Volterra models with sparse data, combining Natural Gradient Ascent, non-dimensionalization, and an adaptive ODE solver, claims fewer iterations and more stability than standard methods.
Fluctuations in the abundance of a species considered mathematically.Nature, 118(2972):558–560, 1926
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Parameter identification for predator-prey system with sparse data
A parameter-estimation framework for Lotka-Volterra models with sparse data, combining Natural Gradient Ascent, non-dimensionalization, and an adaptive ODE solver, claims fewer iterations and more stability than standard methods.