Prediction of Imminent Species' Extinction in EcoSim
نویسندگان
چکیده
The process of evolution involves the emergence and disappearance of species. Many factors affect on the survival of species. Real study of factors’ influence is particularly difficult due to the complex interaction between them. An individual-based model (IBM) can assist in the analysis of effective factors. In this study, using an IBM called EcoSim, we have examined the impact of some factors on the prediction of the imminent extinction. By applying some machine learning’s techniques for feature selection and classification, we have shown that demographic and genetic factors have a critical role for the prediction. Especially, paying attention to both factors can highly improve the accuracy of the species’ prediction.
منابع مشابه
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