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Forecasting ATM cash demands using a local learning model of cerebellar associative memory network
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Forecasting ATM cash demands using a local learning model of cerebellar associative memory network (2010)Forecasting ATM cash demands using a loca…Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach (2006)Stock Trading Using RSPOP: A …25 years of time series forecasting (2006)25 years of time series forec…Linear models, smooth transition autoregression, and neural networks for forecasting macroeconomic time series: A re-examination (2005)Linear models, smooth transit…Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Application of neural network…Learning to trade via direct reinforcement (2001)Learning to trade via direct …Automatic neural network modeling for univariate time series (2000)Automatic neural network mode…Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Comparative study of stock tr…Neural networks in financial engineering: a study in methodology (1997)Neural networks in financial …Forecasting exchange rates using feedforward and recurrent neural networks (1995)Forecasting exchange rates us…Forecasting Volatility and Option Prices of the S&P 500 Index (1994)Forecasting Volatility and Op…Improving cash logistics in bank branches by coupling machine learning and robust optimization (2017)Improving cash logistics in b…Pareto improvement and joint cash management optimisation for banks and cash-in-transit firms (2016)Pareto improvement and joint …On Market Timing and Investment Performance. 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this work references cited by second hop

References

  • 200625 years of time series forecasting1,589 cited
  • 2001Learning to trade via direct reinforcement548 cited
  • 1998Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks537 cited
  • 2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
  • 1995Forecasting exchange rates using feedforward and recurrent neural networks428 cited
  • 2005Linear models, smooth transition autoregression, and neural networks for forecasting macroeconomic time series: A re-examination275 cited
  • 2000Automatic neural network modeling for univariate time series185 cited
  • 1997Neural networks in financial engineering: a study in methodology160 cited
  • 1994Forecasting Volatility and Option Prices of the S&P 500 Index153 cited
  • 2006Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach124 cited

Cited by

  • 2017Improving cash logistics in bank branches by coupling machine learning and robust optimization40 cited
  • 2016Pareto improvement and joint cash management optimisation for banks and cash-in-transit firms17 cited

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