Intelligent BiLSTM-Attention-IBPNN Method for Anomaly Detection in Financial Auditing
Author:
Affiliation:
1. Department of Finance, China University of Mining and Technology, Xuzhou, China
Funder
National Natural Science Foundation of China
Higher Education Philosophy and Social Science Fund of Jiangsu
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10574526.pdf?arnumber=10574526
Reference38 articles.
1. A Big Data-Driven Financial Auditing Method Using Convolution Neural Network
2. Deep learning‐based image processing for financial audit risk quantification in healthcare
3. Construction of financial auditing teaching mode based on artificial intelligence expert system;Zhu;Boletin Tecnico,2017
4. Intelligent Fraud Detection in Financial Statements using Machine Learning and Data Mining: A Systematic Literature Review
5. An Analysis on Financial Statement Fraud Detection for Chinese Listed Companies Using Deep Learning
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