Essay about Neural Systems for Monetary Applications

Nerve organs Networks for Financial Software

J. To Gunasekara Index Number: 09002006 Registration Quantity: 2009cs200 Email: [email protected] com Phone: 0714771759 Supervisor: L. D Premarathne University of Colombo College of Processing September six, 2012

Assertion I notice by file that this materials survey survey has been made by J. To Gunasekara based upon mainly the reference material shown under the bibliography of this report. No main components (sentences/paragraphs etc . ) of additional publications happen to be directly into this report without being duly offered. Name of Candidate: J. T Gunasekara Signature of Candidate:............................... Date:..............

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Summary The review is about Neural Networks for Monetary Application. Artificial Neural Network usage to get finance provides broadly talked about on 3 major regions of Financial Applications. Financial scams Detection, Monetary Forecasting and Financial Risk Management are three main areas considered below. Credit card fraud Detection, Tax Fraud Detection, Wall street game Predictions, Money Forecasting Bankruptcy Predictions, Risikomanagement of finance and Foreign Exchange Rate predicting are the financial applications considered on this study. Other options accessible in solving applications are reviewed and precision and efficiency compare with Nerve organs Network way models. The right way to further develop designed style are treat in this review and what is best Nerve organs Network buildings and best input parameters selection has considered with this review.

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Acknowledgement I want to express my personal deepest gratitude to my own thesis supervisor Dr . They would. D Premarathne for his valuable assistance, motivation and support during this thesis study. My special bless you goes out to all wonderful those who committed all their lives for great research on these areas and always trying to build a better world individuals with research, without which I would take trouble writing this review.

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Items

Declaration Fuzy Acknowledgement Set of Figures Set of Abbreviations you Financial Scams Detection Employing Neural Sites 1 . you Credit Card Fraud....................... 1 . 1 . one particular Credit Card Fraud Detection............. 1 . 1 . 2 Credit Card Fraud Detection Employing Neural Networks 1 . two Tax Fraudulence Detection...................... 1 ) 2 . you Neural Sites for Duty Fraud Diagnosis...... 2 Economic Forecasting Applying Neural Networks 2 . you Bankruptcy estimations.................... 2 . 1 . 1 Nerve organs Network Approaches............. 2 . two Cash Forecasting....................... 2 . 2 . 1 Neural Network version in Money Forecasting..... 2 . 3 Wall street game Predictions................... 2 . 3. 1 Stock worth prediction depending on Technical Analysis installment payments on your 3. 2 Stock value prediction based on Hybrid Research.. 2 . several. 3 Stock exchange volatility forecasts......... i 2 iii versus v 1 1 1 2 your five 5 several 7 7 9 on the lookout for 10 11 13 18

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Set of Figures

1 ) 1 1 . 2 1 . 3 1 ) 4 1 ) 5 1 . 6 2 . 1 installment payments on your 2 2 . 3 installment payments on your 4 installment payments on your 5 installment payments on your 6 installment payments on your 7 installment payments on your 8 installment payments on your 9 Input Descriptors NN Architecture NN Architecture NN Architecture NN Architecture NN Architecture NN Architecture NN Architecture NN Architecture NN Architecture NN Architecture NN Architecture NN Architecture a few crests...... NN Architecture....................................................................................................................................................................................................................

Bibliography: [1] Z. Arisa and D. Mohamadb, " Putting on artificial nerve organs networks using hijri antojo transaction because extracted variables to forecast stock pattern direction, ” Labuan e-Journal of Muamalat and World, vol. two, pp. 9–16, 2008. [2] A. Vahedi, " The predicting share price using artificial nerve organs network, ” Journal of Basic and Applied Scientific Research, pp. 2325–2328, 2012. [3] H. Soni, " Applications of anns in stock exchange prediction, ” International Record of Pc Science and Engineering Technology, vol. installment payments on your [4] A. Ayodele and A. Marion, " Inventory price prediction using neural network with hybridized marketplace indicators, ” Journal of Emerging Developments in Computer and Info Sciences, volume. 3, 2012. [5] Z. Arisa and D. Mohamadb, " Building stock market exchange prices employing artificial nerve organs network: Research of amman stock exchange, ” Jordan Record of Mechanical and Industrial Engineering, vol. 5, pp. 439–446, 2011. [6] T. Agrawal and M. Jindal, " Artificial neural networks an application to stock market volatility, ” Foreign Journal of Engineering Research and Technology, vol. a couple of, pp. 1451–1460, 2010. [7] M. P. N. andHamidreza Taremian, " Stock market value prediction employing neural sites, ” 978-1-4244-7818-7/10/@ 2010 IEEE, vol. 2, pp. 9–16, 2010. [8] Y. Kara and Meters. A. Boyacioglu, " Forecasting direction of stock price index movement using artificial neural sites and support vector devices: The sample of the turki stock exchange, ” journal website: www.elsevier.com/locate/eswa, volume. 38, pp. 5311–5319, 2011. [9] Deb. R. K. and P. D. Deb., " Application of artificial nerve organs network intended for stock market predictions: a review of materials, ” International Journal of Machine Cleverness, vol. two, pp. 14–17, 2010. [10] A. F. Atiya, " Bankruptcy conjecture for credit rating risk using neural sites: A study and new results, ” IEEE TRANSACTIONS ON NERVE ORGANS NETWORKS, vol. 12, pp. 929–935, 2001. [11] G. Zhang and M. Y. Hu, " Artificial nerve organs networks in bankruptcy prediction: General platform and cross-validation analysis, ” European Log of Detailed Research, volume. 116, pp. 16–32, 1999.

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[12] R. Patidar and D. Sharma, " Credit card fraud diagnosis using neural network, ” International Record of Soft Computing and Engineering, vol. 1, pp. 33–38, 2011. [13] S. Kumar and E. Walia, " Funds forecasting: A credit application of artificial neural systems in finance, ” Worldwide Journal of Computer Research and Applications, vol. a few, pp. 61–77, 2006. [14] R. C. -F. Wu, " Including neurocomputing and auditing knowledge, ” Managerial Auditing Diary, vol. 9, pp. 20–26, 1994. [15] R. P. Pradhan and R. Kumar, " Predicting exchange rate in india: An application of artificial nerve organs network version, ” Record of Math concepts Research, vol. 2, pp. 111–117, 2010. [16] W. HUANG, " Forecasting foreign exchange rates with artificial nerve organs networks: An overview, ” Foreign Journal of Information Technology and Decision Making, vol. 3, pp. 145–165, 2004. [17] M. Kamruzzaman and R. A. Sarker, " Ann-based forecasting of foreign currency exchange costs, ” Neural Information Finalizing - Words and Reviews, vol. three or more, pp. 49–58, 2004. [18] P. Tenti, " Forcasting forieng exchnage rates employing recurrent neural networks, ” pp. 567–581, 1996. [19] S. Ghosh and D. L. Reilly, " Credit card fraud detection using a neural-network, ” Neural Information Processing - Letters and Reviews, pp. 621–630, 1994.

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