An FCM clustering algorithm based on the identification of accounting statement whitewashing behavior in universities

The traditional recognition method of whitewash behavior of accounting statements needs to analyze a large number of special data samples. The learning rate of the algorithm is low, resulting in low recognition accuracy. To solve the aforementioned problems, this article proposes a method to identif...

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Vydané v:	Journal of intelligent systems Ročník 31; číslo 1; s. 345 - 355
Hlavný autor:	Yang, Qihao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin De Gruyter 05.03.2022 Walter de Gruyter GmbH
Predmet:	Algorithms behavior recognition Clustering FCM clustering algorithm Fuzzy sets Identification methods Machine learning Motivation Recognition university accounting statements whitewashing behavior
ISSN:	2191-026X, 0334-1860, 2191-026X
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