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@article{33161, author = {Vochozka, Marek and Rowland, Zuzana and Vrbka, Jaromír}, article_location = {Kyjiv}, article_number = {1}, keywords = {manufacturing company; financial problems; prediction; artificial neural network; model}, language = {eng}, issn = {2409-8876}, journal = {Matematyčne modeljuvannja v ekonomici}, title = {EVALUATION OF SOLVENCY OF POTENTIAL CUSTOMERS OF A COMPANY}, volume = {roč. 5}, year = {2016} }
TY - JOUR ID - 33161 AU - Vochozka, Marek - Rowland, Zuzana - Vrbka, Jaromír PY - 2016 TI - EVALUATION OF SOLVENCY OF POTENTIAL CUSTOMERS OF A COMPANY JF - Matematyčne modeljuvannja v ekonomici VL - roč. 5 IS - 1 SP - 5-18 EP - 5-18 PB - Nacional’na akademija nauk Ukrajiny SN - 24098876 KW - manufacturing company KW - financial problems KW - prediction KW - artificial neural network KW - model N2 - The aim of this article is to utilize artificial neural networks for creation of a model for determination of solvency of customers of a manufacturing company. An analysis of customer solvency is a necessary condition for healthy business relation. On the base of obtained data on a group of 110 manufacturing companies 1000 artificial neural networks is generated. For the model, linear neural networks, probabilistic neural networks, radial basis function neural networks, three-layer perceptron networks and four-layer perceptron networks are utilised. Ten of these networks, which showed the best results, are retained for futher processing. The obtained best one neural network MLP 91:91-99-59-1:1 predicts solvency or possible risk of a company (potential customer of a manufacturing company) with the probability higher than 90 %. ER -
VOCHOZKA, Marek, Zuzana ROWLAND and Jaromír VRBKA. EVALUATION OF SOLVENCY OF POTENTIAL CUSTOMERS OF A COMPANY. \textit{Matematyčne modeljuvannja v ekonomici}. Kyjiv: Nacional’na akademija nauk Ukrajiny, 2016, roč. 5, No~1, p.~5-18. ISSN~2409-8876.
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