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A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction
5 references·1 citing·31 second hop
A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction (2010)A novel hybrid optimization algorithm of …An artificial neural network (p,d,q) model for timeseries forecasting (2009)An artificial neural network …Neural network based temporal feature models for short-term railway passenger demand forecasting (2008)Neural network based temporal…Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets (2008)Fuzzy time series model based…The integrated methodology of rough set theory and artificial neural network for business failure prediction (2000)The integrated methodology of…Business failure prediction using rough sets (1999)Business failure prediction u…Systematic Approach to Analyze Travel Time in Road-Based Mass Transit Systems Based on Data Mining (2018)Systematic Approach to Analyz…Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)The M3-Competition: results, conclusions and implications (2000)Principles of Forecasting (2001)Forecasting demand of commodities after natural disasters (2009)SARIMA modelling approach for railway passenger flow forecasting (2016)Passenger demand forecasting in scheduled transportation (2019)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)Forecasting enrollments with fuzzy time series — Part I (1993)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Fuzzy sets (1996)A Decision tree- Rough set Hybrid System for Stock Market Trend Prediction (2010)A brief review of modeling approaches based on fuzzy time series (2015)An intelligent pattern recognition model for supporting investment decisions in stock market (2016)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)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Preference disaggregation: 20 years of MCDA experience (2001)Predicting corporate bankruptcy: where we stand? (2006)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)The demand for public transport: The effects of fares, quality of service, income and car ownership (2006)Transit network design and scheduling: A global review (2008)
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References

  • 2009An artificial neural network (p,d,q) model for timeseries forecasting785 cited
  • 1999Business failure prediction using rough sets493 cited
  • 2000The integrated methodology of rough set theory and artificial neural network for business failure prediction335 cited
  • 2008Neural network based temporal feature models for short-term railway passenger demand forecasting211 cited
  • 2008Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets109 cited

Cited by

  • 2018Systematic Approach to Analyze Travel Time in Road-Based Mass Transit Systems Based on Data Mining5 cited

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