Hu Michael Y.

Michael Y. Hu

Information about the author Michael Y. Hu will soon be added to the site.
Found 12 papers in total
Effectiveness of joint estimation when the outlier is the last observation in an autocorrelated short time series
Effectiveness of joint estimation when the outlier is the last observation in an autocorrelated short time series
1999
The effectiveness of the joint estimation outlier detection method as a process...
An extended self-organizing map network for market segmentation – a telecommunication example
An extended self-organizing map network for market segmentation – a telecommunication example
2006
Kohonen's self-organizing map (SOM) network is an unsupervised learning neural network...
A distribution-free approach to estimating best response values with application to mutual fund performance modeling
A distribution-free approach to estimating best response values with application to mutual fund performance modeling
2005
Frontier regression models seek to model and estimate best rather than average values...
Modeling foreign equity control in Sino-foreign joint ventures with neural networks
Modeling foreign equity control in Sino-foreign joint ventures with neural networks
2004
Equity control is one of the key areas of research in international business. This...
A principled approach for building and evaluating neural network classification models
A principled approach for building and evaluating neural network classification models
2004
In this paper, we propose a principled approach to building and evaluating neural...
Explaining consumer choice through neural networks: The stacked generalization approach
Explaining consumer choice through neural networks: The stacked generalization approach
2003
This paper uses neural network models and the ensemble techniques of stacked...
A simulation study of artificial neural networks for nonlinear time-series forecasting
A simulation study of artificial neural networks for nonlinear time-series forecasting
2001
This study presents an experimental evaluation of neural networks for nonlinear...
A cross-validation analysis of neural network out-of-sample performance in exchange rate forecasting
A cross-validation analysis of neural network out-of-sample performance in exchange rate forecasting
1999
Econometric methods used in foreign exchange rate forecasting have produced inferior...
Neural network forecasting of the British pound/US dollar exchange rate
Neural network forecasting of the British pound/US dollar exchange rate
1998
Neural networks have successfully been used for exchange rate forecasting. However,...
Estimating the performance of Sino–Hong Kong joint ventures using neural network ensembles
Estimating the performance of Sino–Hong Kong joint ventures using neural network ensembles
1999
Prediction of the performance of international joint ventures remains a relatively...
Forecasting with artificial neural networks: The state of the art
Forecasting with artificial neural networks: The state of the art
1998
Interest in using artificial neural networks (ANNs) for forecasting has led to a...
An experimental evaluation of neural networks for classification
An experimental evaluation of neural networks for classification
1993
Artificial neural networks are new methods for classification. In this paper, the...
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