Advanced model mapping and simulations
AssigneeFord Global Technologies, LLC
InventorsTurgay Isik Aslandere, Evangelos Bitsanis, Michael Marbaix, Frederic Stefan, Alain Marie Roger Chevalier
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Abstract
The invention relates to a system for performing a method for performing computer-aided simulations. The system loads an input dataset which is based on user interactions of a user indicating a manipulation of a representation of a component, provides a tracking dataset indicating changes in the representation through the manipulations by evaluating the input dataset, provides an output dataset which is based on evaluation of the tracking dataset by means of machine learning, where the output dataset assigns a model to the representation, and outputs the output dataset.
Claims12
A method for performing computer-aided simulations, the method comprising:
- loading an input dataset, the input dataset based on user interactions of a user indicating a manipulation of a representation of a component;
- generating a tracking dataset indicating changes in the representation by the manipulation through evaluation of the input dataset;
- generating an output dataset, the output dataset based on evaluation of the tracking dataset using machine learning, wherein the output dataset assigns a model to the representation;
- and
- outputting the output dataset.
A system for performing computer-aided simulations, the system comprising:
- an input device for receiving user interactions of a user indicating manipulation of a component and generating, based on the user interactions, an input dataset;
- a tracking unit for generating a tracking dataset indicating changes in the representation based on evaluation of the input dataset;
- a platform for generating an output dataset based on evaluation of the tracking dataset, wherein generating the output dataset comprises using machine learning to assign a model to the representation;
- and
- an output device for outputting the output dataset.
A computer-readable memory device having stored thereon instructions that, upon execution by one or more processors, cause the one or more processors to:
- load an input dataset, the input dataset based on user interactions of a user indicating a manipulation of a representation of a component;
- generate a tracking dataset indicating changes in the representation by the manipulation through evaluation of the input dataset;
- generate an output dataset, the output dataset based on evaluation of the tracking dataset using machine learning, wherein the output dataset assigns a model to the representation;
- and
- output the output dataset.
Dependencies are inferred from the claim text.