Online hierarchical ensemble of learners for activity time prediction in open pit mining

Online hierarchical ensemble of learners for activity time prediction in open pit mining

Example implementations described herein are directed to vehicle scheduling and management, and in particular for estimation of travel times and other activity times. Example implementations can be used to achieve improved vehicle scheduling and utilization based on the provision of accurate expecte...

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Bibliographische Detailangaben
Hauptverfasser: Ristovski, Kosta, Gupta, Chetan
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:Example implementations described herein are directed to vehicle scheduling and management, and in particular for estimation of travel times and other activity times. Example implementations can be used to achieve improved vehicle scheduling and utilization based on the provision of accurate expected activity times. Example implementations are further directed to the integration of predictors to provide an estimation of activity time. - 23 - ,104 104 103 f101 Networkaum