Artificial chemical reaction optimization based neural net for virtual data position exploration for efficient financial time series forecasting
Prediction of stock index remains a challenging task of the financial time series prediction process. Though different non-linear prediction models are in use, their prediction accuracy does not improve beyond certain level. In order to improve the forecasting accuracy, this paper proposes a chemica...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-12-01
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| Series: | Ain Shams Engineering Journal |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447916301824 |