has been cited by the following article(s):
[1]
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Statistical Analysis Dow Jones Stock Index—Cumulative Return Gap and Finite Difference Method
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Journal of Risk and Financial Management,
2022 |
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[2]
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Dynamic Sliding Window and Neighborhood LSTM-Based Model for Stock Price Prediction
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SN Computer Science,
2022 |
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[3]
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Quantitative Trading Using Artificial Intelligence on Trend-Following Indicators: An Example in 2020
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Martínez, C Orden-Cruz… - The Journal of …,
2022 |
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[4]
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A Neighborhood Deep Neural Network Model using Sliding Window for Stock Price Prediction
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2021 |
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[5]
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Stock Forecasting using Neural Network with Graphs
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2020 |
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[6]
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Perbandingan Prediksi Harga Saham dengan Penerapan Algoritma Genetika dan Algoritma Genetika Adaptif
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2020 |
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[7]
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Complexity Analysis of a Four-Dimensional Energy-Economy-Environment Dynamic System
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2020 |
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[8]
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Application of Wavelet Neuro-Fuzzy System (WNFS) method for stock forecasting
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Journal of Physics: Conference Series,
2018 |
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[9]
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Saudi Arabia Stock Market Prediction Using Neural Network
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International Journal on Computer Science and Engineering,
2018 |
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[10]
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Improving stock closing price prediction using recurrent neural network and technical indicators
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2018 |
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[11]
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ANALYZING THE HOUSING RATE IN A REAL ESTATE INFORMATIVE SYSTEM: A PREDICTION ANALYSIS
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International Journal of Civil Engineering and Technology,
2018 |
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[12]
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Tests de l'efficience faible à partir des ondelettes de Haar
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2017 |
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[13]
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Comparative Study of Different Wavelet Based Neural Network Models for IIP Growth Forecasting Using Different Yield Spreads
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International Journal of Electrical Electronics & Computer Science Engineering,
2017 |
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[14]
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Prediction of stock prices based on LM-BP neural network and the estimation of overfitting point by RDCI
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Neural Computing and Applications,
2017 |
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[15]
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Short term electricity load forecasting based on the optimal architecture of hybrid neural network model
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2017 |
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[16]
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Comparative Analyses of Stock Returns Properties and Predictability
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Procedia Computer Science,
2016 |
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[17]
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Analyzing On Effect Of US Sub-Prime Crises On Five Major Stock Markets Of Different Countries Using Hybrid Wavelet And Neural Network Model.
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International Journal of Engineering Trends and Applications,
2016 |
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[18]
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基于小波神经网络和 BP 神经网络的麦蚜发生期预测对比 (英文)
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植物保护学报,
2016 |
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[19]
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Applications of Wavelet Neural Networks in Financial Time Series
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2016 |
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[1]
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Statistical Analysis Dow Jones Stock Index—Cumulative Return Gap and Finite Difference Method
Journal of Risk and Financial Management,
2022
DOI:10.3390/jrfm15020089
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[2]
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Dynamic Sliding Window and Neighborhood LSTM-Based Model for Stock Price Prediction
SN Computer Science,
2022
DOI:10.1007/s42979-022-01158-1
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[3]
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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
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[4]
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Complexity Analysis of a Four-Dimensional Energy-Economy-Environment Dynamic System
Complexity,
2020
DOI:10.1155/2020/7626792
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[5]
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Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators
Neural Computation,
2018
DOI:10.1162/neco_a_01124
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[6]
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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
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[7]
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Comparative Analyses of Stock Returns Properties and Predictability
Procedia Computer Science,
2016
DOI:10.1016/j.procs.2016.09.333
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