Artificial neural networks with evolutionary instance selection for financial forecasting

Expert Systems with Applications

Volumn 30, Issue 3, 2006, Pages 519-526

  Kim, Kyoung Jae ^a  

^a Dongguk University   (South Korea)

Author keywords

Artificial neural networks; Financial forecasting; Genetic algorithms; Instance selection

Indexed keywords

DATA MINING; DATA REDUCTION; FORECASTING; INFORMATION TECHNOLOGY; LEARNING SYSTEMS; NEURAL NETWORKS; PERSONNEL TRAINING;

FINANCIAL FORECASTING; INSTANCE SELECTION; STOCK MARKET ANALYSIS; WEIGHTS MITIGATE;

GENETIC ALGORITHMS;

EID: 30944444787     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.10.007     Document Type: Article

References (41)

1. H. Adeli, and S. Hung Machine learning: Neural networks, genetic algorithms, and fuzzy systems 1995 Wiley New York
2. R.J. Bauer Genetic algorithms and investment strategies 1994 Wiley New York
3. A. Blum, and P. Langley Selection of relevant features and examples in machine learning Artificial Intelligence 97 1-2 1997 245 271
4. Choi, J.H., Lee, M.K., & Lee, M.W. (1995). Trading S&P 500 stock index futures using a neural network. Proceedings of the third annual international conference on artificial intelligence applications on wall street (pp. 63-72). New York.
5. J.R. Coakley, and C.E. Brown Artificial neural networks in accounting and finance: Modeling issues International Journal of Intelligent Systems in Accounting, Finance and Management 9 2000 119 144
6. D.R. Cooper, and C.W. Emory Business research methods 1995 Irwin Chicago
7. B.V. Dasarathy Nearest neighbor (NN) norms: NN pattern classification techniques 1990 IEEE Computer Society Press California
8. L. Davis Genetic algorithms and financial applications G.J. Deboeck Trading on the edge 1994 Wiley New York 133 147
9. Duke, L. S., & Long, J. A. (1993). Neural network futures trading - a feasibility study. In: Society for worldwide interbank financial telecomunications, adaptive intelligent systems (pp. 121-132). Amsterdam: Elsevier.
10. G.W. Gates The reduced nearest neighbor rule IEEE Transactions on Information Theory 18 3 1972 431 433
11. J.N.D. Gupta, and R.S. Sexton Comparing backpropagation with a genetic algorithm for neural network training Omega 27 6 1999 679 684
12. J.V. Hansen, J.B. McDonald, and R.D. Nelson Time series prediction with genetic-algorithm designed neural networks: An empirical comparison with modern statistical models Computational Intelligence 15 3 1999 171 184
13. P.E. Hart The condensed nearest neighbor rule IEEE Transactions on Information Theory 14 1968 515 516
14. A. Hertz, and D. Kobler A framework for the description of evolutionary algorithms European Journal of Operational Research 126 1 2000 1 12
15. Y. Hiemstra Modeling structured nonlinear knowledge to predict stock market returns R.R. Trippi Chaos & nonlinear dynamics in the financial markets: Theory, evidence and applications 1995 Irwin Chicago, IL 163 175
16. Kamijo, K., & Tanigawa, T. (1990). Stock price pattern recognition: A recurrent neural network approach. Proceedings of the international joint conference on neural networks (pp. 215-221). San Diego, CA.
17. K. Kim, and I. Han Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index Expert Systems with Applications 19 2 2000 125 132
18. Kimoto, T., Asakawa, K., Yoda, M., & Takeoka, M. (1990). Stock market prediction system with modular neural network. Proceedings of the International Joint Conference on Neural Networks (pp. 1-6). San Diego, CA.
19. K. Kohara, T. Ishikawa, Y. Fukuhara, and Y. Nakamura Stock price prediction using prior knowledge and neural networks International Journal of Intelligent Systems in Accounting, Finance and Management 6 1 1997 11 22
20. L.I. Kuncheva 'Change-glasses' approach in pattern recognition Pattern Recognition Letters 14 1993 619 623
21. L.I. Kuncheva Editing for the k-nearest neighbors rule by a genetic algorithm Pattern Recognition Letters 16 8 1995 809 814
22. K.H. Lee, and G.S. Jo Expert systems for predicting stock market timing using a candlestick chart Expert Systems with Applications 16 4 1999 357 364
23. H. Liu, and H. Motoda Feature transformation and subset selection IEEE Intelligent Systems and Their Applications 13 2 1998 26 28
24. H. Liu, and H. Motoda Data reduction via instance selection H. Liu H. Motoda Instance selection and construction for data mining 2001 Kluwer Academic Publishers Massachusetts 3 20
25. D. McSherry Automating case selection in the construction of a case library Knowledge Based Systems 13 2-3 2000 133 140
26. C. Nikolopoulos, and P. Fellrath A hybrid expert system for investment advising Expert Systems 11 4 1994 245 250
27. M.O. Odetayo Knowledge acquisition and adaptation: A genetic approach Expert Systems 12 1 1995 3 13
28. K.J. Oh, and I. Han Using change-point detection to support artificial neural networks for interest rates forecasting Expert Systems with Applications 19 2 2000 105 115
29. C.R. Reeves, and D.R. Bush Using genetic algorithms for training data selection in RBF networks H. Liu H. Motoda Instance selection and construction for data mining 2001 Kluwer Academic Publishers Massachusetts 339 356
30. C.R. Reeves, and S.J. Taylor Selection of training sets for neural networks by a genetic algorithm A.E. Eiden T. Bäck M. Schoenauer H.-P. Schwefel Parallel problem-solving from nature-PPSN V 1998 Springer Berlin
31. G.L. Ritter, H.B. Woodruff, S.R. Lowry, and T.L. Isenhour An algorithm for a selective nearest neighbor decision rule IEEE Transactions on Information Theory 21 6 1975 665 669
32. R.S. Sexton, R.E. Dorsey, and J.D. Johnson Toward global optimization of neural networks: A comparison of the genetic algorithm and backpropagation Decision Support Systems 22 2 1998 171 185
33. Smyth, B. (1998). Case-base maintenance. Proceedings of the 11th international conference on industrial & engineering applications of artificial intelligence & expert systems (pp. 507-516).
34. I.V. Tetko, and A.E.P. Villa Efficient partition of learning data sets for neural network training Neural Networks 10 8 1997 1361 1374
35. I. Tomek An experiment with the edited nearest neighbor rule IEEE Transactions on Systems, Man, and Cybernetics 6 6 1976 448 452
36. R.R. Trippi, and D. DeSieno Trading equity index futures with a neural network Journal of Portfolio Management 19 1992 27 33
37. R. Tsaih, Y. Hsu, and C.C. Lai Forecasting S&P 500 stock index futures with a hybrid AI system Decision Support Systems 23 2 1998 161 174
38. S.M. Weiss, and N. Indurkhya Predictive data mining: A practical guide 1998 Morgan Kaufmann Publishers California
39. D.L. Wilson Asymptotic properties of nearest neighbor rules using edited data IEEE Transactions on Systems, Man, and Cybernetics 2 3 1972 408 421
40. D.R. Wilson, and T.R. Martinez Reduction techniques for instance-based learning algorithms Machine Learning 38 2000 257 286
41. F. Wong, and C. Tan Hybrid neural, genetic, and fuzzy systems G.J. Deboek Trading on the edge 1994 Wiley New York 243 261