Financial forecasting through unsupervised clustering and neural networks

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In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and non

Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitr

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Input Space | Neural Networks | Operations Research | OR 2006 | Unsupervised Clustering |

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Added	14 Dec 2010
Updated	14 Dec 2010
Type	Journal
Year	2006
Where	OR
Authors	Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis

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Financial forecasting through unsupervised clustering and neural networks

Input Space | Neural Networks | Operations Research | OR 2006 | Unsupervised Clustering |

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