Stock prediction by applying hybrid Clustering-GWO-NARX neural network technique

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Stock prediction by applying hybrid Clustering-GWO-NARX neural network technique

Prediction of stock price is one of the most challenging tasks due to nonlinear nature of the stock data. Though numerous attempts have been made to predict the stock price by applying various techniques, yet the predicted price is not always accurate and even the error rate is high to some extent....

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Bibliographic Details
Main Authors:	Das, Debashish, Sadiq, Ali Safa, Mirjalili, Seyedali
Format:	Conference or Workshop Item
Language:	English
Published:	2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/20937/ http://umpir.ump.edu.my/id/eprint/20937/1/ICCSCM%20Paper-Stock%20Prediction-GWO-April2017.pdf

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