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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3590-3593

Application research of improved interest-driven neural network in fraud information

Sun Linjuan1
Jia Yuehui2
1. Dept. of Computer Science & Software, Tianjin University Ren'ai College, Tianjin 301636, China
2. School of Software & Communication, Tianjin Sino-German University of Applied Technology, Tianjin 300350, China
DOI: 10.19734/j.issn.1001-3695.2019.09.0532

Abstract

To study the problem of maximizing individual income and cost to achieve total net income, this paper proposed an interest-driven artificial neural network(ANN) classification method. In this method, it introduced penalty function, and gave variable penalties for misclassification of different instances according to the importance of different instances, and then maximized the net benefits. In order to generate penalties for individuals, according to the benefits of each instance, it proposed seven different versions of ANN models by modifying the sum of squares of errors function to change the value of the function. Compared with the original ANN, decision tree and naive Bayesian classifier, the experimental results of two fraudulent information show that different versions of the proposed model outperform other methods in terms of net profit items, and they can generate different weights for different data sets.

Foundation Support

天津市科技计划项目技术创新引导专项优秀科技特派员项目(18JCTPJC51800)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0532
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3590-3593
Serial Number: 1001-3695(2020)12-014-3590-04

Publish History

[2020-12-05] Printed Article

Cite This Article

孙林娟, 贾月辉. 改进利益驱动神经网络在欺诈信息的应用研究 [J]. 计算机应用研究, 2020, 37 (12): 3590-3593. (Sun Linjuan, Jia Yuehui. Application research of improved interest-driven neural network in fraud information [J]. Application Research of Computers, 2020, 37 (12): 3590-3593. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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