MODEL BASED PREFERENCE LEARNING AND OPTIMIZATION SYSTEMS AND METHODS
Abstract:
A model optimizer for predicting a drill bit variable can select a model from multiple models based on a learned preference. The preference may be updated according to preference indicator received from a user in response to an output model selection.
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