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Beschreibung
This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 21. Dezember 2017 |
| Maße | 22 cm x 15 cm x 0.6 cm |
| Gewicht | 149 Gramm |
| Format | Softcover |
| ISBN-13 | 9786202197106 |
| Seiten | 88 |