IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
International Journal of Electronic Finance
Probabilistic Neural Network Based Method for Fault Diagnosis of Analog Circuits
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Wavelet Time Series ARMA Prediction on Cutting Vibration in Diamond Turning
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Neural Networks
Multiscale Functional Autoregressive Model for Monthly Sardines Catches Forecasting
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
A hybrid SARIMA wavelet transform method for sales forecasting
Decision Support Systems
Wind farm power prediction based on wavelet decomposition and chaotic time series
Expert Systems with Applications: An International Journal
Forecasting stock indices with wavelet domain kernel partial least square regressions
Applied Soft Computing
Stock index prediction based on the analytical center of version space
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Study on application server aging prediction based on wavelet network with hybrid genetic algorithm
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
Wavelet autoregressive model for monthly sardines catches forecasting off central southern chile
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A hybrid WA-CPSO-LSSVR model for dissolved oxygen content prediction in crab culture
Engineering Applications of Artificial Intelligence
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We investigate the effectiveness of a financial time-series forecasting strategy which exploits the multiresolution property of the wavelet transform. A financial series is decomposed into an over complete, shift invariant scale-related representation. In transform space, each individual wavelet series is modeled by a separate multilayer perceptron (MLP). We apply the Bayesian method of automatic relevance determination to choose short past windows (short-term history) for the inputs to the MLPs at lower scales and long past windows (long-term history) at higher scales. To form the overall forecast, the individual forecasts are then recombined by the linear reconstruction property of the inverse transform with the chosen autocorrelation shell representation, or by another perceptron which learns the weight of each scale in the prediction of the original time series. The forecast results are then passed to a money management system to generate trades