This is an introductory
course teaching the use of physicsAI to predict the results from historical
simulation data. Prerequisites: Basic knowledge about HyperWorks for Pre/Post
Processing Goals and Objectives: Creating Data Set and identifying outliers Model
Training and Testing Deploying predictive models
- Overview, Introduction,
Installation, Workflow
- physicsAI Toolbar
Overview, Project Management
- Dataset Creation Model -
Training & Testing
- Deploying the physicsAI
model for prediction
- Hands on examples
