A Modified Neural-Network–Based GM(1,1)
| Autor: | Ti-Hung Chen, Hung-Ching Lu, Ming-Feng Yeh |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021103 operations research
Artificial neural network Differential equation Computer science Simple (abstract algebra) Learning rule 0211 other engineering and technologies 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Algorithm |
| Zdroj: | ICMLC |
| DOI: | 10.1109/icmlc.2018.8527024 |
| Popis: | Inspired by neural-network-based GM(1,1) (NN-GM(1,1)), this study attempts to drive a more simple and efficient learning rule to enhance the fitting/forecasting ability and convergence speed of the grey neural network. Simulation results on two real datasets show that the proposed modified NN-GM(I,I) performs better than the original NN-GM(I,I) in terms of fitting and forecasting accuracies. In addition, the modified NN-GM(I,I) has faster convergence speed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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