Methods, systems, and computer readable media for generating structural forms using machine learning
OwnerMasoud Akbarzadeh, Hao Zhenginventors
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Abstract
A method for generating a structural form using a machine learning model includes receiving a definition of a boundary of a target structure. The method further includes generating an output force diagram using the boundary and one or more machine-learning models trained on at least one force diagram of an internal network of a natural structure. The method further includes generating a structural form within the boundary using the output force diagram.
Claims20
A method comprising:
- receiving a definition of a boundary of a target structure;
- generating an output force diagram using the boundary and one or more machine-learning models trained on at least one force diagram of an internal network of a natural structure;
- and
- generating a structural form within the boundary using the output force diagram.
A system comprising:
- at least one processor;
- and
- a structural form generator implemented on the at least one processor and configured to perform operations comprising:
- receiving a definition of a boundary of a target structure;
- generating an output force diagram using the boundary and one or more machine-learning models trained on at least one force diagram of an internal network of a natural structure;
- and
- generating a structural form within the boundary using the output force diagram.
A non-transitory computer readable medium storing executable instructions that when executed by at least one processor of a computer control the computer to perform operations comprising:
- receiving a definition of a boundary of a target structure;
- generating an output force diagram using the boundary and one or more machine-learning models trained on at least one force diagram of an internal network of a natural structure;
- and
- generating a structural form within the boundary using the output force diagram.
Dependencies are inferred from the claim text.