Simulating the Poverty Risk Threshold in France

Short Research on Poverty Risk Threshold Using Artificial Neural Networks

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This book aims at researching the possibility of predicting the poverty risk threshold in France, considering the sustainable development indicators defined and registered by the European Union, and using a technique from the artificial intelligence field, i.e. artificial neural networks (ANNs). The main objective is to determine a more efficient economic method, which can be easily applied, in order to simulate the influence of sustainable development indicators on the poverty risk threshold, and to explore the possibility of predicting the latter. Thus, we could assess the poverty risk and establish policies and strategies in order to lower this risk, through actions that eliminate the causes of those sustainable development indicators which negatively influence the poverty risk threshold. The authors’ research and contributions demonstrated the possibility of using the ANNs for modeling and simulation, in order to predict the poverty risk threshold in France, with results that can be used and applied in risk management.


Constantin Ilie


Dr. Eng. Constantin Ilie obtained his Ph.D degree in Industrial Engineering in 2010. Since then he is working as Lecturer at OVIDIUS University from Constanta. He has a wide experience in international and local project management. Author of several articles published in recognized journals, with interests in ANN, digitalization, new technologies.


Margareta Ilie


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Publishing House:

LAP LAMBERT Academic Publishing


poverty threshold, Artificial Intelligence, Sustainable development indicators

Product category:

BUSINESS & ECONOMICS / International