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

Edition

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

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

Belarus

Confidentiality degree

není předmětem státního či obchodního tajemství

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

Změněno: 2/9/2016 13:18, Hana Dlouhá

Abstract

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 %.