Pages that link to "Item:Q3990994"

The following pages link to Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool (Q3990994):

Displaying 9 items.

• Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge (Q856675) (← links)
• Discovering dispatching rules using data mining (Q880519) (← links)
• Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge (Q2581623) (← links)
• Architecture of a dynamic production controller in CIM enterprise environments (Q3163788) (← links)
• Using data continualization and expansion to improve small data set learning accuracy for early flexible manufacturing system (FMS) scheduling (Q3430239) (← links)
• Indentifying attributes for knowledge-based development in dynamic scheduling environments (Q4230179) (← links)
• Using an unsupervized neural network and decision tree as knowledge acquisition tools for FMS scheduling (Q4363404) (← links)
• A learning-based methodology for dynamic scheduling in distributed manufacturing systems (Q4399121) (← links)
• DYNAMIC SCHEDULING OF MANUFACTURING SYSTEMS WITH MACHINE LEARNING (Q5249288) (← links)