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Fitting an uncertain productivity learning process using an artificial neural network approach

Chen, Toly - In: Computational and mathematical organization theory 24 (2018) 3, pp. 422-439

Persistent link: https://www.econbiz.de/10011885564

Estimating and incorporating the effects of a future QE project into a semiconductor yield learning model with a fuzzy set approach

Chen, Toly - In: European journal of industrial engineering : EJIE 3 (2009) 2, pp. 207-226

Persistent link: https://www.econbiz.de/10003838369

Optimal multiple-period scheduling and sequencing of operating room and intensive care unit

Al-Refaie, Abbas; Judeh, Mays; Chen, Toly - In: Operational research : an international journal 18 (2018) 3, pp. 645-670

Persistent link: https://www.econbiz.de/10011917367

A hybrid neural network and selective allowance approach for internal due date assingnment in a wafer fabrication plant

Chen, Toly; Jeang, Angus; Wang, Yi-Chi - In: The international journal of advanced manufacturing … 36 (2008) 5/6, pp. 570-581

Persistent link: https://www.econbiz.de/10003689017

A modified random forest incremental interpretation method for explaining artificial and deep neural networks in cycle time prediction

Chen, Toly; Wang, Yu-Cheng - In: Decision analytics journal 7 (2023), pp. 1-11

Methods based on artificial neural network (ANN) or deep neural network (DNN) applications have been proposed to predict job cycle time effectively. However, the predicting mechanism of ANNs (or DNNs) is often difficult to understand and communicate. This problem has hindered their acceptability...

Persistent link: https://www.econbiz.de/10014436432