Invention Grant
- Patent Title: System and method for predicting preliminary design requirements using artificial neural networks
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Application No.: US15603190Application Date: 2017-05-23
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Publication No.: US11008120B2Publication Date: 2021-05-18
- Inventor: Omid Nakhjavani
- Applicant: The Boeing Company
- Applicant Address: US IL Chicago
- Assignee: The Boeing Company
- Current Assignee: The Boeing Company
- Current Assignee Address: US IL Chicago
- Agency: Perman & Green LLP
- Main IPC: B64F5/00
- IPC: B64F5/00 ; G06N3/08 ; G06F30/15 ; G06F30/23 ; G06F113/28

Abstract:
A method for predicting preliminary design load cases using an artificial neural network, the method including obtaining, with a processor, historical data corresponding to an existing structural component, the historical data including finite element modeling analysis data and measured test data for the existing structural component, designing the artificial neural network to include a plurality of neurons to form a numerical model for preliminary design load cases of a new structural component, training, with the processor and the historical data for the existing structural component, the artificial neural network to predict the preliminary design load cases for the new structural component, providing input design parameters for the new structural component to the artificial neural network, and predicting, with the artificial neural network, the preliminary design load cases for the new structural component.
Public/Granted literature
- US20180341850A1 SYSTEM AND METHOD FOR PREDICTING PRELIMINARY DESIGN REQUIREMENTS USING ARTIFICIAL NEURAL NETWORKS Public/Granted day:2018-11-29
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