Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System
Author
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-08
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Financial fraud is among the main problems undermining the confidence of customers in addition to incurring economic losses to banks and financial institutions.
In recent years, along with the proliferation of fraud, financial institutions began looking for ways to find a suitable solution in the fight against fraud.
Given the advanced and varied changes in methods of fraud, extensive research has been conducted to detect fraud.
In this paper, the Artificial Neural Network technique and Harmony Search Algorithm are used to detect fraud.
In the proposed method, hidden patterns between normal and fraudulent customers’ information are searched.
Given that fraudulent behavior could be detected and stopped before they take place, the results of the proposed system show that it has an acceptable capability in fraud detection.
American Psychological Association (APA)
Daliri, Sajjad. 2020. Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1138789
Modern Language Association (MLA)
Daliri, Sajjad. Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-5.
https://search.emarefa.net/detail/BIM-1138789
American Medical Association (AMA)
Daliri, Sajjad. Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1138789
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138789