David Enke

According to our database1, David Enke authored at least 30 papers between 1997 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
A comprehensive cluster and classification mining procedure for daily stock market return forecasting.
Neurocomputing, 2017

Forecasting daily stock market return using dimensionality reduction.
Expert Syst. Appl., 2017

A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market.
Eng. Appl. of AI, 2017

An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms.
Appl. Soft Comput., 2017

2016
Developing a rule change trading system for the futures market using rough set analysis.
Expert Syst. Appl., 2016

An adaptive stock index trading decision support system.
Expert Syst. Appl., 2016

2015
Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures.
Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

Noise Canceling in Volatility Forecasting Using an Adaptive Neural Network Filter.
Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques.
Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

2014
Interest rate prediction: a neuro-hybrid approach with data preprocessing.
Int. J. General Systems, 2014

Nonlinear Modeling Using Neural Networks for Trading the Soybean Complex.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Volatility Forecasting Using a Hybrid GJR-GARCH Neural Network Model.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

A Hybrid Neuro-fuzzy Model to Forecast Inflation.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Part IV: Business and Financial Analytics Preface.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

2013
Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network.
Intelligent Automation & Soft Computing, 2013

Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

Part I: Adaptive Systems.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2012
Preface to Part II Computational Intelligence and Machine Learning.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

A New Hybrid Approach For Forecasting Interest Rates.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

Biased trader model and analysis of financial market dynamics.
KES Journal, 2012

2011
Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

2009
A hybrid stock trading system for intelligent technical analysis-based equivolume charting.
Neurocomputing, 2009

2008
Intelligent technical analysis based equivolume charting for stock trading using neural networks.
Expert Syst. Appl., 2008

2007
A hybrid option pricing model using a neural network for estimating volatility.
Int. J. General Systems, 2007

Analysis of System Behavior Through Cognitive Architectures.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

2005
The use of data mining and neural networks for forecasting stock market returns.
Expert Syst. Appl., 2005

2004
The adaptive selection of financial and economic variables for use with artificial neural networks.
Neurocomputing, 2004

An expert advisory system for the ISO 9001 quality system.
Expert Syst. Appl., 2004

2000
Large machine-part family formation utilizing a parallel ART1 neural network.
J. Intelligent Manufacturing, 2000

1997
Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects.
Proceedings of the Human Vision and Electronic Imaging II, 1997


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