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Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks

✍ Scribed by Saad, E.W.; Prokhorov, D.V.; Wunsch, D.C.


Book ID
120626452
Publisher
IEEE
Year
1998
Tongue
English
Weight
391 KB
Volume
9
Category
Article
ISSN
1045-9227

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## Abstract A temporal artificial neural network‐based model is developed and applied for long‐lead rainfall forecasting. Tapped delay lines and recurrent connections are two different components that are used along with a static multilayer perceptron network to design a time‐delay recurrent neural