Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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Illicit Financial Flows (IFFs) are a major challenge to Africa’s democratic governance. They have a direct impact on a country’s stability to raise, retain and mobilise its own resources to finance sustainable economic development. GFI (2017) finds that IFFs remain persistently high. The study finds that over the period between 2005 and 2014, IFFs on average accounted for between 14.1 percent and 24.0 percent of the total developing country trade, while outflows were estimated at 4.6 percent to 7.2 percent of total trade and inflows were between 9.5 percent and 16.8 percent. The problem with IFFs is that they are not only illicit but that their effect spreads far beyond their immediate area of occurrence. Millions of people are affected, economies are weakened, and development is stagnated, while a shady few accumulate wealth and influence. Financial flows are crucial for poor countries and have played an important role in most African countries that have made developmental progress. Since not all financial flows are good for development, the integration of poor countries into the global financial system poses opportunities as well as risks. IFFs usually facilitate most of these risks and have an overall negative impact on African countries.
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