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Neural networks of data inhibiting long memory pattern

โœ Scribed by Masood A. Badri; Ahmed Al-Mutawa; Amr Murtagy


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
335 KB
Volume
35
Category
Article
ISSN
0360-8352

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โœฆ Synopsis


We experiment with three neural network models for forecasting to better understand the performance of neural networks for the case when the data exhibits a long memory pattern. To obtain the optimum networks, the effect of network characteristics such as the tratnhtg parameters, the nmnber of ~ layers, and the testing and truing percentages are simulated. The third model, which consists of a combination of individual time series forecasts, provides superior results.


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