THEORETICAL CONSIDERATIONS REGARDING THE USE OF "MACHINE LEARNING". CONCEPTS AND PARADIGMS FOR ADVANCED TECHNOLOGY ORGANIZATIONS

被引：0

作者：

Ionescu, Marian Sorin ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, 313 Splaiul Independentei, Bucharest, Romania

来源：

STRATEGICA: CHALLENGING THE STATUS QUO IN MANAGEMENT AND ECONOMICS | 2018年

关键词：

Artificial Intelligence; Machine Learning; Data Mining; Support Vector Machine;

D O I：

暂无

中图分类号：

F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];

学科分类号：

0201 ; 020105 ; 03 ; 0303 ;

摘要：

The highly complex phenomenology approached by modern business models makes them difficult to understand, model and solve, without interdisciplinary tools, taken from the adjacent scientific field of competence, such as "Artificial Intelligence". The elaboration of mathematical models for the study, understanding and solving of the theoretical issues of operational-strategic applied business models is the most important paradigm of the scientific thinking that makes the transition to the economic performance generated based on the rational decisions with an optimal degree of efficiency developed by the top organizational management. Artificial Intelligence is the scientific branch that provides an infinite horizon for building algorithms, procedures and mathematical models of computing, with wide applicability in business and economic issues.

引用

页码：839 / 853

页数：15

共 21 条

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