Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction
暂无分享,去创建一个
[1] Pei-Chann Chang,et al. A TSK type fuzzy rule based system for stock price prediction , 2008, Expert Syst. Appl..
[2] Donghui Zhang,et al. Online event-driven subsequence matching over financial data streams , 2004, SIGMOD '04.
[3] Gwo-Ching Liao,et al. Application of a fuzzy neural network combined with a chaos genetic algorithm and simulated annealing to short-term load forecasting , 2006, IEEE Transactions on Evolutionary Computation.
[4] Frank Westerhoff,et al. TECHNICAL ANALYSIS BASED ON PRICE-VOLUME SIGNALS AND THE POWER OF TRADING BREAKS , 2006 .
[5] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[6] Paul G. Harrald,et al. Evolving artificial neural networks to combine financial forecasts , 1997, IEEE Trans. Evol. Comput..
[7] Ingoo Han,et al. Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index , 2000 .
[8] P. Chang,et al. AN INVESTIGATION OF THE HYBRID FORECASTING MODELS FOR STOCK PRICE VARIATION IN TAIWAN , 2004 .
[9] Jae Won Lee,et al. Stock price prediction using reinforcement learning , 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).
[10] Byung Ro Moon,et al. A Hybrid Neurogenetic Approach for Stock Forecasting , 2007, IEEE Transactions on Neural Networks.
[11] JingTao Yao,et al. Forecasting the KLSE index using neural networks , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[12] Renate Sitte,et al. Analysis of the predictive ability of time delay neural networks applied to the S&P 500 time series , 2000, IEEE Trans. Syst. Man Cybern. Part C.
[13] Konstantina Papagiannaki,et al. Long-term forecasting of Internet backbone traffic , 2005, IEEE Transactions on Neural Networks.
[14] Shouhong Wang,et al. A neural network based fuzzy set model for organizational decision making , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[15] Norio Baba,et al. Utilization of neural networks and GAs for constructing reliable decision support systems to deal stocks , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[16] Kazuo Asakawa,et al. Stock market prediction system with modular neural networks , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[17] Sheng-Chai Chi,et al. A forecasting approach for stock index future using grey theory and neural networks , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[18] Milam W. Aiken,et al. Forecasting Market Trends with Neural Networks , 1999, Inf. Syst. Manag..
[19] Byoung-Tak Zhang,et al. Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks , 2004, IDEAL.
[20] Kiyoshi Izumi,et al. Analysis of Exchange Rate Scenarios Using an Artificial Market Approach , 1999, IC-AI.
[21] Guoqiang Peter Zhang,et al. Avoiding Pitfalls in Neural Network Research , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[22] Pei-Chann Chang,et al. A hybrid model by clustering and evolving fuzzy rules for sales decision supports in printed circuit board industry , 2006, Decis. Support Syst..
[23] Ajith Abraham,et al. Hybrid Intelligent Systems for Stock Market Analysis , 2001, International Conference on Computational Science.
[24] K. Parasuraman,et al. Wavelet networks: an alternative to classical neural networks , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[25] Dominik R. Dersch,et al. Multiresolution Forecasting for Futures Trading , 2001 .
[26] Ross Graham,et al. Neural Networks for Real-time Pathfinding in Computer Games , 2004 .
[27] David Brownstone,et al. Using percentage accuracy to measure neural network predictions in Stock Market movements , 1996, Neurocomputing.
[28] K. Ahmad,et al. Multiscale wavelet preprocessing for fuzzy systems , 2005, 2005 ICSC Congress on Computational Intelligence Methods and Applications.
[29] Ronald R. Yager,et al. A framework for fuzzy recognition technology , 2000, IEEE Trans. Syst. Man Cybern. Part C.
[30] Feipei Lai,et al. A rule-based neural stock trading decision support system , 1996, IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr).
[31] Youngohc Yoon,et al. Predicting stock price performance: a neural network approach , 1991, Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences.
[32] Ajith Abraham,et al. Modeling chaotic behavior of stock indices using intelligent paradigms , 2003, Neural Parallel Sci. Comput..
[33] Tzung-Pei Hong,et al. Integrating fuzzy knowledge by genetic algorithms , 1998, IEEE Trans. Evol. Comput..
[34] K.V. Nesbitt,et al. Finding trading patterns in stock market data , 2004, IEEE Computer Graphics and Applications.
[35] Francis Eng Hock Tay,et al. Support vector machine with adaptive parameters in financial time series forecasting , 2003, IEEE Trans. Neural Networks.
[36] Jerry M. Mendel,et al. Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..
[37] Mu-Chun Su,et al. Neural-network-based fuzzy model and its application to transient stability prediction in power systems , 1999, IEEE Trans. Syst. Man Cybern. Part C.
[38] An-Sing Chen,et al. Application of Neural Networks to an Emerging Financial Market: Forecasting and Trading the Taiwan Stock Index , 2001, Comput. Oper. Res..
[39] Amir F. Atiya,et al. Introduction to financial forecasting , 1996, Applied Intelligence.
[40] Darrell Whitley,et al. Scheduling problems and traveling salesman: the genetic edge recombination , 1989 .
[41] Pei-Chann Chang,et al. Combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory , 2006, Appl. Soft Comput..
[42] Yanqing Zhang,et al. Evolutionary fuzzy neural networks for hybrid financial prediction , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[43] Pei-Chann Chang,et al. Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry , 2006, Expert Syst. Appl..
[44] Derek A. Linkens,et al. Rule-base self-generation and simplification for data-driven fuzzy models , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).