An Effective Stock Price Prediction Technique Using Hybrid Adaptive Neuro Fuzzy Inference System Based on Grid Partitioning-Reference-Cited by-同舟云学术

An Effective Stock Price Prediction Technique Using Hybrid Adaptive Neuro Fuzzy Inference System Based on Grid Partitioning

Published:2015-08-22 Issue: Volume: Page:275-284
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Chakraborty Atanu,Mukherjee Debojoyti,Dutta Amit,Chakraborty Aruna,Kole Dipak Kumar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-23258-4_24

Reference18 articles.

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2. Kuo-Cheng, T., Ojoung, K., Tjung, L.C.: Time series and neural network forecast of daily stock prices. Investment Management and Financial Innovations 9, 32–54 (2012)

3. Victor, D., Antony, T., Ligori, A.: Stock prediction using artificial neural networks. International Journal of Data Mining Techniques and Applications 2, 283–291 (2013)

4. Haider, K.Z., Sharmin, A.T., Akter, H.Md.: Price Prediction of Share Market using Artificial Neural Network (ANN). International Journal of Computer Applications 22 (2011)

5. Saranya, C., Manikandan, G.: A Study on Normalization Techniques for Privacy Preserving Data Mining. International Journal of Engineering and Technology (IJET) 5, 14–18 (2013)

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