Transputer Implementation of the EKF-Based Learning Algorithm for Multilayered Neural Networks used in Classification of EEG Signals
Artificial neural network approaches for classification of EEG signals using the widely known back-propagation algorithm to train the network are reported in the literature. However, the speed of convergence of the backpropagation algorithm is rather slow. The Extended Kalman Filtering (EKF) based l...
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| Published in: | Technical review - IETE Vol. 14; no. 3; pp. 177 - 182 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Taylor & Francis
01.05.1997
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| ISSN: | 0256-4602, 0974-5971 |
| Online Access: | Get full text |
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