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Volume-7,Issue-6  ( Jun, 2021 )
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Statistics report
Oct. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 88
Paper Published : 4630
No. of Authors : 9568
  Journal Paper


Paper Title :
Using Neural Network to Predict Stock Price: Using SP500 as an example

Author :Yitian Sun

Article Citation :Yitian Sun , (2020 ) " Using Neural Network to Predict Stock Price: Using SP500 as an example " , International Journal of Management and Applied Science (IJMAS) , pp. 114-117, Volume-6,Issue-1

Abstract : The study uses multilayer neural network to predict the stock price and tests whether the stimulated prediction is aligned with the actual stock returns through mean squared error (MSE) value. Acquired from Yahoo Finance, S&P 500 stock data ranged from January 2002 to July 2019 are the sample for the study. Through comparing the MSE value obtained from multilayer neural network with those of other machine learning forecasting methods, random forest regression, gradient boosting, and support vector machine (SVM), the results demonstrate the former method to be the most effective. Keywords - Machine Learning, Mean Squared Error, Multilayer Neural Networks, Stock Price Prediction

Type : Research paper

Published : Volume-6,Issue-1


DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-16896   View Here

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