Browse "College of Business(경영대학)" by Author Oh, Kyong Joo
Showing results 1 to 8 of 8
| An integrated approach using change-point detection and artificial neural networks for interest rates forecasting Oh, Kyong Joo; Han, Ingoo, 한국지능정보시스템학회 2000년 학술대회 , pp.235 - 241, 한국지능정보시스템학회, 2000 |
| An Intellilgent Clustering Forecasting System based on Change-Point Detection and Artificial Neural Networks: Application to Financial Economics Han, Ingoo; Oh, Kyong Joo, Hawaii International Conference on System Sciences, 2001 |
| Artificial Neural Networks supported by Change-Point Detection for Interest Rates Forecasting Han, Ingoo; Oh, Kyong Joo, Fifth International Conference, Asia-Pacific Region of Decision Sciences Institute, 2000 |
| Neural network forecasting of stock price index to integrate change-point detection with genetic algorithms Kim, Kyoung-jae; Oh, Kyong Joo; Han, Ingoo, The Korea Society of Management Information Systems, Fall 2000, pp.141 - 150, The Korea Society of Management Information Systems, 2000 |
| Neural Network Forecasting Using Data Mining Classifiers Based on Structural Change: Application to Stock Price Index Oh, Kyong Joo; Han, Ingoo, The Korean Communications in Statistics, Vol. 8, No. 2, 2001, pp. 543-556(14), 2001 |
| Neural Network Modeling supported by Change-Point Detection for the Prediction of the U.S. Treasury Securities Oh, Kyong Joo; Han, Ingoo, the Korean Operations Research and Management Science Society, no.2, pp.37 - 39, The Korean Operations Research and Management Science Society, 2000 |
| Two-Stage forecasting using change-point detection and artificial neural networks for stock price index Oh, Kyong Joo; Kim, Kyoung-Jae; Han, Ingoo, Proceedings of the Korea Inteligent Information System Society Conference, no.2, pp.427 - 436, Korea Intelligent Information Systems Society, 2000 |
| Using classification function to integrate discriminant analysis, logistic regression and backpropagation neural networks for interest rates forecasting Oh, Kyong Joo; Han, Ingoo, Korea Inteligent Information System Society Conference, no.2, pp.417 - 426, Korea Intelligent Information Systems Society, 2000 |
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