Selection finance's source by method of machine learning
Martynova Yu.A.1
1 Санкт-Петербургский государственный университет аэрокосмического приборостроения
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Journal paper
Russian Journal of Innovation Economics (РИНЦ, ВАК)
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Volume 9, Number 3 (July-September 2019)
Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=41263365
Abstract:
The results of choosing a financial institution for servicing organizations using the technologies used in machine learning, in particular, neural networks and fuzzy logic, are presented. In the conditions of insufficient information, traditional methods of solving such tasks do not work reliably enough, therefore, the work demonstrates a method for determining the best bank using these technologies. To search for the desired solution, the simulation of random values of those parameters that are responsible, in the opinion of the author, for the choice of a bank, was performed. Such a database of examples, which can be called "toy" is involved in the training of the neural network. In addition, it is shown the possibility of obtaining an assessment of the effectiveness of the selected institution for servicing the organization using fuzzy logic.
Keywords: fuzzy logic, performance evaluation, machine learning, neural network
JEL-classification: D81, С45, С65
References:
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