Main Article Content
Abstract
Today, people are more used to online shopping and payment due to which frauds related to online payment is on the rise. The main modes of online payment are credits cards, debit cards, net banking. The fraud related to credit cards is increasing nowadays because people prefer using them as an easy mode of payment. In this paper, we have implemented a mechanism to detect credit card fraud using neural networks using Neuroph IDE. This paper presents the various parameters that were considered while training and testing the neural network. Also, we have presented the results and conclusions of our experiment.
Keywords
Credit card frauds
Neural Networks
Multilayer Feed forward network
Back propagation
Neuroph.
Article Details
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Authors retain copyright for the published content.
How to Cite
Murli, D., Jami, S., Jog, D., & Nath, S. (2015). Credit Card Fraud Detection Using Neural Networks. International Journal of Students’ Research in Technology & Management, 2(2), 84-88. Retrieved from https://giapjournals.com/ijsrtm/article/view/190
References
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- V. Bhusari, S. Patil, “Study of Hidden Markov Model in Credit Card Fraudulent Detection”, International Journal of Computer Applications (0975-8887),Volume 20-No.5, April 2011, pp. 33-36.
- Artificial Neural Networks: http://www.psych.utoronto.ca/ users/reingold/courses/ai/cache/neural2.html
- Neuroph: http://neuroph.sourceforge.net/
