Sentence examples for identifying a model from inspiring English sources

The data lifting approach consists of two steps, identifying a model with a slow/lifted sampling period and extracting a fast model.

Deep learning has the advantage of identifying a model of unstructured data, and most people are familiar with the media such as images, sound, video, and text, all belonging to such data.

This paper describes an online experiment demonstration, propped up on a remote lab system, aiming at identifying a model of a given nonlinear system and to design and apply controllers based on different methodologies.

In recent times, there has been widespread interest from governments, industry, and educators in identifying a model of learning and assessment in higher education that meets the challenges of learning in the digital present and prepares students for an uncertain future (Kinash 2015).

Furthermore, by identifying a model resistant to the effects of bariatric surgery, the authors were able to identify dissect further a role of the microbiota on the positive effects of bariatric surgery.

The standard approach for observers design is to identify a model and then define an observer/Kalman filter based on the identified model.

In the current control design approaches, measured data are used to first identify a model of the plant, then a controller is designed based on the identified model.

Neural network with a specific restricted connectivity structure is used to identify a model of a real-life process.

We present an algorithm, based on Pareto optimality, which mines model collections and identifies a model that offers a reliable prediction for a new chemical compound.

But if we identify a model with its description, then each new description yields a new model, which seems to be counterintuitive.

The second method identifies a model for which the Pareto point is the closest (based on Euclidean distance) to a centroid of all points in the Pareto neighbourhood.