Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System
作者: Sajjad DaliriOctavio Loyola-González
作者单位: 1Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
刊名: Computational Intelligence and Neuroscience, 2020, Vol.2020
来源数据库: Hindawi Journal
DOI: 10.1155/2020/6503459
原始语种摘要: 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...
全文获取路径: Hindawi 

  • fraud 犯罪
  • financial 财政的
  • economic 经济的
  • proposed 建议的
  • undermining 掏蚀
  • information 报告
  • capability 能力
  • acceptable 可接受的
  • years 年代