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

Author:

Chen Toly,Wang Yu-ChengORCID

Publisher

Elsevier BV

Subject

Modeling and Simulation,Applied Mathematics,Analysis,General Decision Sciences

Reference54 articles.

1. DARPA’s explainable artificial intelligence (XAI) program;Gunning;AI Mag.,2019

2. Applications of XAI for forecasting in the manufacturing domain;Chen,2023

3. A global scheduling approach for cycle time control in complex manufacturing systems;Barhebwa-Mushamuka;Int. J. Prod. Res.,2023

4. Optimization of the cycle time of robotics resistance spot welding for automotive applications;Banga;J. Adv. Manuf. Process.,2021

5. A fuzzy back-propagation network approach for planning actions to shorten the cycle time of a job in dynamic random access memory manufacturing;Chen;Neural Comput. Appl.,2015

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