Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks
A low complexity Polynomial Functional link Artificial Recurrent Neural Network (PFLARNN) has been proposed for the prediction of financial time series data. Although different types of polynomial functions have been used for low complexity neural network architectures earlier for stock market predi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2015-12-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868645.pdf |