G. Peter Zhang - researchr alias

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Viewing Publication 1 - 20 from 20

2024

Intermittent demand forecasting with transformer neural networksG. Peter Zhang, Yusen Xia, Maohua Xie. anor, 339(1):1051-1072, August 2024. [doi]

2017

The Impact of Product Returns and Retailer's Service Investment on Manufacturer's Channel StrategiesYusen Xia, Tiaojun Xiao, G. Peter Zhang. dsj, 48(5):918-955, 2017. [doi]

2013

Distribution Channel Strategies for a Manufacturer with Complementary ProductsYusen Xia, Tiaojun Xiao, G. Peter Zhang. dsj, 44(1):39-56, 2013. [doi]

2010

Overcoming Liability of Foreignness: An Analysis of Early Foreign Investment in ChinaHaiyang Chen, Michael Y. Hu, G. Peter Zhang. ijsds, 1(3):71-83, 2010. [doi]

An investigation of neural network classifiers with unequal misclassification costs and group sizesJyhshyan Lan, Michael Y. Hu, B. Eddy Patuwo, G. Peter Zhang. dss, 48(4):582-591, 2010. [doi]

The Impact of the Online Channel on Retailers' Performances: An Empirical EvaluationYusen Xia, G. Peter Zhang. dsj, 41(3):517-546, 2010. [doi]

2009

An Empirical Investigation of EDI Usage and Performance Improvement in Food Supply ChainsCraig A. Hill, G. Peter Zhang, Gary D. Scudder. tem, 56(1):61-75, 2009. [doi]

2008

Modeling consumer situational choice of long distance communication with neural networksMichael Y. Hu, Murali S. Shanker, G. Peter Zhang, Ming S. Hung. dss, 44(4):899-908, 2008. [doi]

Trend Time-Series Modeling and Forecasting With Neural NetworksMin Qi, G. Peter Zhang. tnn, 19(5):808-816, 2008. [doi]

Neural Networks For Data MiningG. Peter Zhang. In Oded Maimon, Lior Rokach, editors, Soft Computing for Knowledge Discovery and Data Mining. pages 17-44, Springer, 2008. [doi]

2007

Strategic Outsourcing Decisions for Manufacturers that Produce Partially Substitutable Products in a Quantity-Setting Duopoly SituationTiaojun Xiao, Yusen Xia, G. Peter Zhang. dsj, 38(1):81-106, 2007. [doi]

Quarterly Time-Series Forecasting With Neural NetworksG. Peter Zhang, Douglas M. Kline. tnn, 18(6):1800-1814, 2007. [doi]

Avoiding Pitfalls in Neural Network ResearchG. Peter Zhang. tsmc, 37(1):3-16, 2007. [doi]

A neural network ensemble method with jittered training data for time series forecastingG. Peter Zhang. isci, 177(23):5329-5346, 2007. [doi]

2005

Neural network forecasting for seasonal and trend time seriesG. Peter Zhang, Min Qi. eor, 160(2):501-514, 2005. [doi]

2004

Modeling foreign equity control in Sino-foreign joint ventures with neural networksMichael Y. Hu, G. Peter Zhang, Haiyang Chen. eor, 159(3):729-740, 2004. [doi]

2003

Why software projects escalate: the importance of project management constructsMark Keil, Arun Rai, Joan Ellen Cheney Mann, G. Peter Zhang. tem, 50(3):251-261, 2003. [doi]

Trend time series modeling and forecasting with neural networksMin Qi, G. Peter Zhang. cifer 2003: 331-337 [doi]

Predicting information technology project escalation: A neural network approachG. Peter Zhang, Mark Keil, Arun Rai, Joan Mann. eor, 146(1):115-129, 2003. [doi]

2001

A simulation study of artificial neural networks for nonlinear time-series forecastingG. Peter Zhang, B. Eddy Patuwo, Michael Y. Hu. cor, 28(4):381-396, 2001. [doi]

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