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Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach
1 references·12 citing·48 second hop
Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach (2015)Forecasting financial time series using a…Stock market value prediction using neural networks (2010)Stock market value prediction…A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting (2023)A Comprehensive Survey on Hig…Deep learning in predicting cryptocurrency volatility (2022)Deep learning in predicting c…Portfolio management system in equity market neutral using reinforcement learning (2021)Portfolio management system i…Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric (2021)Machine learning models predi…Sailing through the COVID-19 Crisis by Using AI for Financial Market Predictions (2020)Sailing through the COVID-19 …Machine Learning in P&C Insurance: A Review for Pricing and Reserving (2020)Machine Learning in P&C Insur…Fusion model of wavelet transform and adaptive neuro fuzzy inference system for stock market prediction (2019)Fusion model of wavelet trans…Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction (2018)Performance analysis of a hig…Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis (2017)Stock Volatility Prediction U…Stock market prediction using subtractive clustering for a neuro fuzzy hybrid approach (2017)Stock market prediction using…An improved shuffled frog leaping algorithm based evolutionary framework for currency exchange rate prediction (2017)An improved shuffled frog lea…A hybridized ELM-Jaya forecasting model for currency exchange prediction (2017)A hybridized ELM-Jaya forecas…Stock market prediction system with modular neural networks (1990)Time series prediction: Forecasting the future and understanding the past (1994)Forecasting with artificial neural networks: (1998)A review of stock market prediction with Artificial neural network (ANN) (2013)A recurrent neural network approach in predicting daily stock prices an application to the Sri Lankan stock market (2017)Short term stock price prediction using deep learning (2017)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Twitter mood predicts the stock market (2011)Stock market prediction using neural network through news on online social networks (2017)High-Performance Modelling and Simulation for Big Data Applications (2019)On exploring the impact of users’ bullish-bearish tendencies in online community on the stock market (2020)Time Series Analysis: Forecasting and Control. 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References

  • 2010Stock market value prediction using neural networks142 cited

Cited by

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  • 2017Stock market prediction using subtractive clustering for a neuro fuzzy hybrid approach

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33 cited