J 2016

EVALUATION OF SOLVENCY OF POTENTIAL CUSTOMERS OF A COMPANY

VOCHOZKA, Marek, Zuzana ROWLAND and Jaromír VRBKA

Basic information

Original name

EVALUATION OF SOLVENCY OF POTENTIAL CUSTOMERS OF A COMPANY

Name in Czech

POSOUZENÍ BONITY POTENCIÁLNÍCH ZÁKAZNÍKŮ PODNIKU

Authors

Edition

Matematyčne modeljuvannja v ekonomici, Kyjiv, Nacional’na akademija nauk Ukrajiny, 2016, 2409-8876

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

50200 5.2 Economics and Business

Country of publisher

Belarus

Confidentiality degree

is not subject to a state or trade secret

Organization unit

Institute of Technology and Business in České Budějovice

Keywords (in Czech)

výrobní podnik; finanční problémy; predikce; neuronové sítě; model

Keywords in English

manufacturing company; financial problems; prediction; artificial neural network; model

Tags

Changed: 2/9/2016 13:18, Hana Dlouhá

Abstract

ORIG CZ

V originále

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 %.