David Enke

发表

An expert advisory system for the ISO 9001 quality system

Hsien-Tsung Liao, David Enke, Henry Wiebe, 2004, Expert Syst. Appl..

A New Hybrid Approach For Forecasting Interest Rates

David Enke, Nijat Mehdiyev, 2012, Complex Adaptive Systems.

Machine-part family formation utilizing an ART1 neural network implemented on a parallel neuro-computer

Cihan H. Dagli, David Enke, Kanchitpol Ratanapan, 1998 .

Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects

Cihan H. Dagli, David Enke, 1997, Electronic Imaging.

A hybrid option pricing model using a neural network for estimating volatility

Cihan H. Dagli, David Enke, Sunisa Amornwattana, 2007, Int. J. Gen. Syst..

Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

Peter Loos, Peter Fettke, Andreas Emrich, 2017 .

Nonlinear Modeling Using Neural Networks for Trading the Soybean Complex

David Enke, Phoebe S. Wiles, D. Enke, 2014, Complex Adaptive Systems.

Forecasting daily stock market return using dimensionality reduction

Xiao Zhong, David Enke, D. Enke, 2017, Expert Syst. Appl..

A comprehensive cluster and classification mining procedure for daily stock market return forecasting

Xiao Zhong, David Enke, D. Enke, 2017, Neurocomputing.

An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms

Kyong Joo Oh, Youngmin Kim, David Enke, 2017, Appl. Soft Comput..

Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates

David Enke, Nijat Mehdiyev, D. Enke, 2013, Complex Adaptive Systems.

Fuzzy Neural Network Models for Electrical Load Forecasting

Cihan H. Dagli, David Enke, Jakapun Mepokee, 2004 .

Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques

Peter Loos, Dirk Werth, Julian Krumeich, 2015, Complex Adaptive Systems.

Forecasting Stock Returns with Artificial Neural Networks

David Enke, Suraphan Thawornwong, 2004 .

Interest rate prediction: a neuro-hybrid approach with data preprocessing

David Enke, Nijat Mehdiyev, D. Enke, 2014, Int. J. Gen. Syst..

Modeling biological visual processes for improved contrast enhancement and edge detection of artificial visual systems

Cihan H. Dagli, David Enke, C. Dagli, 1996, Defense + Commercial Sensing.

Large machine-part family formation utilizing a parallel ART1 neural network

Cihan H. Dagli, David Enke, Kanchitpol Ratanapan, 2000, J. Intell. Manuf..

Developing a rule change trading system for the futures market using rough set analysis

Youngmin Kim, David Enke, Youngmin Kim, 2016, Expert Syst. Appl..

Automated misplaced component inspection for printed circuit boards

Cihan H. Dagli, David Enke, 1997 .

Intelligent technical analysis based equivolume charting for stock trading using neural networks

David Enke, Thira Chavarnakul, D. Enke, 2008, Expert Syst. Appl..

Multi-agent Architectures for Analysis of Complex Adaptive Systems

Cihan H. Dagli, David Enke, Nil H. Kilicay, 2006 .

Concepts on Market-oriented Transmission Investment

Badrul H. Chowdhury, Keith Stanek, David Enke, 2007 .

Part I: Adaptive Systems

David Enke, 2013, Complex Adaptive Systems.

Part IV: Business and Financial Analytics Preface

David Enke, 2014, Complex Adaptive Systems.

A hybrid stock trading system for intelligent technical analysis-based equivolume charting

David Enke, Thira Chavarnakul, D. Enke, 2009, Neurocomputing.

Using Neural Networks to Forecast Volatility for an Asset Allocation Strategy Based on the Target Volatility

Youngmin Kim, David Enke, 2016 .

A Hybrid Neuro-fuzzy Model to Forecast Inflation

David Enke, Nijat Mehdiyev, D. Enke, 2014, Complex Adaptive Systems.

Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network

David Enke, Nijat Mehdiyev, D. Enke, 2013, Intell. Autom. Soft Comput..

Biologically inspired neural network connectionist models for use in artificial vision systems

Cihan H. Dagli, David Enke, 1997 .

Heuristics and Genetic Algorithms

Cihan H. Dagli, Michael D. Mobley, David Enke, 2006 .

7.2.1 Development of an Integrated Facilities' Management Baseline at a Federal Agency Using a Systems Engineering Approach

Cihan H. Dagli, David Enke, Robert Thurau, 2005 .

Using a viewing window and the Hausdorff-Voronoi Network (HAVNET) neural network for the recognition of words within a document

Cihan H. Dagli, David Enke, 1995, SPIE Defense + Commercial Sensing.

Volatility Forecasting Using a Hybrid GJR-GARCH Neural Network Model

David Enke, Soheil Almasi Monfared, D. Enke, 2014, Complex Adaptive Systems.

The adaptive selection of financial and economic variables for use with artificial neural networks

David Enke, Suraphan Thawornwong, Suraphan Thawornwong, 2004, Neurocomputing.

The use of data mining and neural networks for forecasting stock market returns

David Enke, Suraphan Thawornwong, Suraphan Thawornwong, 2005, Expert Syst. Appl..

Using Data Processing Algorithms and Neural Networks to Forecast One-Month Price Moves of the S&P 500 Index

Terry Wright, David Enke, 2008 .

Intelligent Engineering Systems Through Artifical Neural Networks: Infra-structure Systems Engineering, Bio-informatics and Computational Biology and Evolutionary Computation

Cihan H. Dagli, David Enke, Anna L. Buczak, 2007 .

Noise Canceling in Volatility Forecasting Using an Adaptive Neural Network Filter

David Enke, Soheil Almasi Monfared, 2015, Complex Adaptive Systems.

An adaptive stock index trading decision support system

Wen-Chyuan Chiang, Tong Wu, Renzhong Wang, 2016, Expert Syst. Appl..

Predicting the daily return direction of the stock market using hybrid machine learning algorithms

Xiao Zhong, David Enke, D. Enke, 2019, Financial Innovation.

Preface to Part II Computational Intelligence and Machine Learning

Rosemary D. Paradis, David Enke, 2012, Complex Adaptive Systems.

Neuro-fuzzy-genetic Architecture for Data Mining

Cihan H. Dagli, David Enke, Korakot Hemsathapat, 2001 .

An Advanced Computational Approach to System of Systems Analysis & Architecting Using Agent-Based Behavioral Model

Abhijit Gosavi, Kristin Giammarco, Cihan H. Dagli, 2013 .

Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering Computational Intelligence in Architecting Complex Engineering

Cihan H. Dagli, David Enke, Anna L. Buczak, 2007 .

Using Coalition Formation and Game Theory for Allocating Capital to New Transmission Investment

Badrul H. Chowdhury, David Enke, Jakapun Mepokee, 2004 .

Neural Networks as a Decision Maker for Stock Trading: A Technical Analysis Approach

David Enke, Suraphan Thawornwong, Cihan Dagli, 2003 .

Using Neural Networks and Technical Indicators for Generating Stock Trading Signals

Vamsi Krishna Bogullu, Cihan H. Dagli, David Enke, 2002 .

A Hybrid Derivative Trading System Based on Volatility and Return Forecasting

David Enke, Sunisa Amornwattana, D. Enke, 2008 .

Valuation for the Strategic Management of Research and Development Projects: The Deferral Option

David Enke, Neal Lewis, David Spurlock, 2004 .

Using Neural Networks and Technical Analysis Indicators for Predicting Stock Trends

Cihan H. Dagli, David Enke, Suraphan Thawornwong, 2001 .

Development and analysis of intelligent computation-based stock forecasting and trading systems

David Enke, Suraphan Thawornwong, 2003 .

Case Study: Applying a Regional Cge Model for Estimation of Indirect Economic Losses Due to Damaged Highway Bridges

David Enke, D. Enke, Chakkaphan Tirasirichai, 2007 .

A dynamic target volatility strategy for asset allocation using artificial neural networks

David Enke, Youngmin Kim, 2018, The Engineering Economist.

Evaluation of GARCH, RNN and FNN Models for Forecasting Volatility in the Financial Markets

David Enke, Ajitha Vejendla, 2013 .