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Comparing Artificial Neural Network Architectures for Brazilian Stock Market Prediction
3 references·1 citing·17 second hop
Comparing Artificial Neural Network Architectures for Brazilian Stock Market Prediction (2020)Comparing Artificial Neural Network Archi…Predicting the Unpredictable: An Application of Machine Learning Algorithms in Indian Stock Market (2019)Predicting the Unpredictable:…Exploring Big Data Analysis: Fundamental Scientific Problems (2015)Exploring Big Data Analysis: …An artificial neural network (p,d,q) model for timeseries forecasting (2009)An artificial neural network …PREDICTING STOCK MARKET MOVEMENTS USING NEURAL NETWORKS: A REVIEW AND APPLICATION STUDY (2024)PREDICTING STOCK MARKET MOVEM…Time Series Analysis: Forecasting and Control (1977)Forecasting with artificial neural networks: (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Using artificial neural network models in stock market index prediction (2011)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Recurrent neural network and a hybrid model for prediction of stock returns (2014)Management Information Systems (2012)Deep Learning and Implementations in Banking (2020)Big Data and Big Data Analytics (2022)Artificial Intelligence of Big Data for Analysis in Organizational Decision-Making (2025)Twitter mood predicts the stock market (2011)Deep learning for event-driven stock prediction (2015)Improving stock market prediction via heterogeneous information fusion (2017)Machine Learning Stock Market Prediction Studies: Review and Research Directions (2020)A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction (2021)Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques (2022)Integrated public health and migration policy: Crafting effective responses to migrant crises (2024)
this work references cited by second hop

References

  • 2009An artificial neural network (p,d,q) model for timeseries forecasting785 cited
  • 2019Predicting the Unpredictable: An Application of Machine Learning Algorithms in Indian Stock Market57 cited
  • 2015Exploring Big Data Analysis: Fundamental Scientific Problems54 cited

Cited by

  • 2024PREDICTING STOCK MARKET MOVEMENTS USING NEURAL NETWORKS: A REVIEW AND APPLICATION STUDY43 cited

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