Contributions Regarding the Utilization of Neural Networks in SME's Management


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Due to the fact that there isnt a clear definition of the terms neural network" and "neuronal network" [1,2], the current paper aims to establish it by a range of comparative research. With the help of some charts, based on the structure of some SMEs (Small and Medium Enterprises), the parts that define the structure of the neuron will be compared with the general structure of an organization, in order to reproduce the neuron in the structuring level of an organization and give a meaning to the term of "organizational neuron. Sometimes it is necessary to take managerial decisions under uncertainty and / or risk, so any method that gives forecasting information to the manager is welcome [3,4]. It is considered that the use of Artificial Neural Network (ANN) can be constituted (embodiments of many other methods) in an appropriate instrument for taking the correct decisions in the organizational management. As a result, a case on how to use an ANN will be presented, based on certain characteristics of a company. It aims at presenting how a biological neuron will be transposed into an artificial neuron (people or departments within the company) and its reproduction at a structure level of the organization (functions of the nucleus, axon, dendrites, and so on).



Edited by:

Laurentiu Slătineanu, Vasile Merticaru, Gheorghe Nagîţ, Margareta Coteaţă, Eugen Axinte, Petru Duşa, Gavril Muscă, Laurenţiu Ghenghea, Florin Negoescu, Octavian Lupescu, Irina Tiţa and Oana Dodun






S. I. Marinescu and M. A. Țîțu, "Contributions Regarding the Utilization of Neural Networks in SME's Management", Applied Mechanics and Materials, Vol. 657, pp. 906-910, 2014

Online since:

October 2014




* - Corresponding Author

[1] M. Kantrowitz, Milestones in the Development of Artificial Intelligence, (1997).

[2] S. Haykin - Neural Networks: A Comprehensive Foundation. Macmillan/IEEE Press, (1994).

[3] B. Widrow, MAR. Lehr,  Adaptive Neural Networks and their Applications,  International Journal of Intelligent Systems. 8/4 (1993) 453-507.

[4] E. Sanchez, Fuzzy Logic and the Semantic Web, Amsterdam, Boston, Heidelberg: Elseiver, (2006).

[5] D. Dumitrescu, Principles of Artificial Inteligence, Blue Publisher, Cluj-Napoca , (2002).

[6] J. Freeman, D. Skapura, Neural Networks, Algorithms, Applications and Programming Techniques, Addison-Wesley Publishing Company Inc., (1992).

[7] I. Dzitac, Artificial Inteligence, Aurel Vlaicu University Publisher, Arad, (2008).

[8] Dumitrescu, D., Hariton, C. – Neural Networks. Theory and Applications, Teora Publisher, Bucharest, (1996).

[9] C. Neagu, C. Ioniţă, Neural Networks. Theory and Applications in Modelling and Simulation of Manufacturing Processes and Systems, Academy Press, (2010).

[10] M. Ţîţu, C. Oprean, A. Boroiu, Experimental Research Applied to Improve the Quality of Products and Services, AGIR Publisher, Bucharest, (2011).

[11] C. Oprean, M. Ţîţu, V. Bucur, Global Management of the Knowledge-Based Organisation, Agir Publisher, Bucharest, (2011).

[12] C. Oprean, M. Ţîţu, Quality Management in the Economy and Knowledge-Based Organisation, AGIR Publisher, Bucharest, (2008).

[13] C. Oprean, C. Kifor, O. Suciu, C. Alexe, Integrated Management of Quality, Romanian Academy Publisher, Bucharest, (2012).

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