The Prediction of Stock Price Based on Improved Wavelet Neural Network

Open Journal of Applied Sciences

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ISSN Online: 2165-3925
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"The Prediction of Stock Price Based on Improved Wavelet Neural Network"
written by Qinglan Ye, Lianxin Wei,
published by Open Journal of Applied Sciences, Vol.5 No.4, 2015

has been cited by the following article(s):

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[1]	Prediction model of stock return on investment based on hybrid DNN and TabNet model PeerJ Computer Science, 2024 DOI:10.7717/peerj-cs.2057

[2]	Statistical Analysis Dow Jones Stock Index—Cumulative Return Gap and Finite Difference Method Journal of Risk and Financial Management, 2022 DOI:10.3390/jrfm15020089

[3]	Dynamic Sliding Window and Neighborhood LSTM-Based Model for Stock Price Prediction SN Computer Science, 2022 DOI:10.1007/s42979-022-01158-1

[4]	A Neighborhood Deep Neural Network Model using Sliding Window for Stock Price Prediction 2021 IEEE International Conference on Big Data and Smart Computing (BigComp), 2021 DOI:10.1109/BigComp51126.2021.00022

[5]	Complexity Analysis of a Four-Dimensional Energy-Economy-Environment Dynamic System Complexity, 2020 DOI:10.1155/2020/7626792

[6]	Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators Neural Computation, 2018 DOI:10.1162/neco_a_01124

[7]	Prediction of stock prices based on LM-BP neural network and the estimation of overfitting point by RDCI Neural Computing and Applications, 2017 DOI:10.1007/s00521-017-3296-x

[8]	Comparative Analyses of Stock Returns Properties and Predictability Procedia Computer Science, 2016 DOI:10.1016/j.procs.2016.09.333

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