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ARTIFICIAL INTELLIGENCE APPLICATIONS IN FINANCIAL DIAGNOSIS AND ANALYSIS METHODS

Authors: Amarfii-Railean Nelli;

ARTIFICIAL INTELLIGENCE APPLICATIONS IN FINANCIAL DIAGNOSIS AND ANALYSIS METHODS

Abstract

Artificial intelligence, a relatively new phenomenon in entrepreneurial activity, allows the realization of many applications in the most diverse fields, such as medicine, accounting, auditing, and financial diagnosis. The application of artificial intelligence in economics is argued even by the characteristics and needs of the time (development of online commerce, e-governance, virtual reality, industrial robots). The research examines the new models in financial diagnosis based on artificial intelligence, SOFM, which will increase the efficiencies of financial analysis in the Industry 4.0 era.

Nelli Amarfii-Railean, PhD, Associate Professor Alecu Russo Balti State University, Republic of Moldova

Keywords

artificial intelligence, financial diagnosis, neural networks, Self Organizing Feature Maps

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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