Predicting fraudulent financial reporting using artificial neural network

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Predicting fraudulent financial reporting using artificial neural network

Purpose - This paper aims to explore the effectiveness of an artificial neural network (ANN) in predicting fraudulent financial reporting in small market capitalization companies in Malaysia. Design/methodology/approach - Based on the concepts of ANN, a mathematical model was developed to compare no...

書誌詳細
出版年:	Journal of Financial Crime
第一著者:	2-s2.0-85019490600
フォーマット:	論文
言語:	English
出版事項:	Emerald Group Publishing Ltd. 2017
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019490600&doi=10.1108%2fJFC-11-2015-0061&partnerID=40&md5=df180872ad2a71a67a4a748e500511ca

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