David Enke - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 31 from 31

2023

A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoostYechan Han, Jaeyun Kim, David Enke. eswa, 211:118581, January 2023. [doi]

2017

2016

An adaptive stock index trading decision support systemWen-Chyuan Chiang, David Enke, Tong Wu, Renzhong Wang. eswa, 59:195-207, 2016. [doi]

Developing a rule change trading system for the futures market using rough set analysisYoungmin Kim, David Enke. eswa, 59:165-173, 2016. [doi]

2015

Determination of Rule Patterns in Complex Event Processing Using Machine Learning TechniquesNijat Mehdiyev, Julian Krumeich, David Enke, Dirk Werth, Peter Loos. complexsystems 2015: 395-401 [doi]

Noise Canceling in Volatility Forecasting Using an Adaptive Neural Network FilterSoheil Almasi Monfared, David Enke. complexsystems 2015: 80-84 [doi]

Optimizing MACD Parameters via Genetic Algorithms for Soybean FuturesPhoebe S. Wiles, David Enke. complexsystems 2015: 85-91 [doi]

2014

2013

Part I: Adaptive SystemsDavid Enke. complexsystems 2013: 11-13 [doi]

Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural NetworkDavid Enke, Nijat Mehdiyev. iasc, 19(4):636-648, 2013. [doi]

Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest RatesDavid Enke, Nijat Mehdiyev. complexsystems 2013: 115-120 [doi]

2012

A New Hybrid Approach For Forecasting Interest RatesDavid Enke, Nijat Mehdiyev. procedia, 12:259-264, 2012. [doi]

Biased trader model and analysis of financial market dynamicsNil H. Kilicay-Ergin, David Enke, Cihan H. Dagli. kes, 16(2):99-116, 2012. [doi]

Preface to Part II Computational Intelligence and Machine LearningRosemary D. Paradis, David Enke. procedia, 12:88-89, 2012. [doi]

2011

Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural NetworksDavid Enke, Manfred Grauer, Nijat Mehdiyev. procedia, 6:201-206, 2011. [doi]

2009

A hybrid stock trading system for intelligent technical analysis-based equivolume chartingThira Chavarnakul, David Enke. ijon, 72(16-18):3517-3528, 2009. [doi]

2008

Intelligent technical analysis based equivolume charting for stock trading using neural networksThira Chavarnakul, David Enke. eswa, 34(2):1004-1017, 2008. [doi]

2007

A hybrid option pricing model using a neural network for estimating volatilitySunisa Amornwattana, David Enke, Cihan H. Dagli. ijgs, 36(5):558-573, 2007. [doi]

Analysis of System Behavior Through Cognitive ArchitecturesNil Kilicay, David Enke, Cihan H. Dagli. icai 2007: 50-55

2005

The use of data mining and neural networks for forecasting stock market returnsDavid Enke, Suraphan Thawornwong. eswa, 29(4):927-940, 2005. [doi]

2004

An expert advisory system for the ISO 9001 quality systemHsien-Tsung Liao, David Enke, Henry Wiebe. eswa, 27(2):313-322, 2004. [doi]

The adaptive selection of financial and economic variables for use with artificial neural networksSuraphan Thawornwong, David Enke. ijon, 56:205-232, 2004. [doi]

2000

Large machine-part family formation utilizing a parallel ART1 neural networkDavid Enke, Kanchitpol Ratanapan, Cihan H. Dagli. jim, 11(6):591-604, 2000. [doi]

1997

Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effectsDavid Enke, Cihan H. Dagli. hvei 1997: 203-214 [doi]

Sign in or sign up to see more results.

runs on WebDSL