Explore how data opens new possibilities for physical modeling through neural network integration in system modeling. Discover applications and examples, covering topics from introduction to System Modeler, data incorporation in system models, data system model creation, data extraction, parameter calibration, parametrical regulation, industrial use cases, and future applications in this 25-minute Wolfram presentation.
Neural Networks in System Models: Applications and Examples
Overview
Syllabus
Introduction
System Modeler
Data in System Models
Create Data System Model
Extract Data
Parameter Calibration
Parametrical Regulation
Industrial Use Case
Future Applications
Taught by
Wolfram
