Main Article Content
Prediction analysis is used for gaining the optimal value in real world problems. Artificial Neural Network with deep learning forms a deep neural network. It will help to create a novel future prediction for real world problem. For time-series problem like stock market prediction, there is a need for best predictor for future price. To achieve this, a relative analysis is must. This research work helps to identify the best future predictor for stock by relating the proposed model CDRANN with the standard ARIMA model. The performance result shows that for time series dataset CDRANN model was able to perform better than the ARIMA method.
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.