Discussion: Machine Learning and Neural Networks for Process Simulation: Difference between revisions
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Revision as of 15:57, 10 October 2023
This is a Discussion Page with supplementary user information. It is not part of the core SysCAD Help Documentation - please refer to the User Guide for full documentation links. |
Navigation: Product Blog ➔ Discussion Pages ➔ Machine Learning and AI
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NOTE: The following Discussion Page uses tensorflow to train or optimized neural networks models to use in SysCAD, however, other tools can be used to create deep fully-connected or convolutional neural networks.
What is Machine Learning?
Part 1 - Supervised learning and Neural Networks applications in SysCAD
What are Neural Networks?
talk about structure types (DNN or Conv) and parameters that can be adjusted.
There will be multiple subheadings here.
Neural Networks examples in SysCAD
NN API
Mass Balance Neural Network Reactor
Regression Neural Network to predict ??? (TBD which example we can do here)
Creating an Optimised Neural Network Model - workflow
- Different tools available(python and tensorflow/tensorboard, NNPS c# application, etc)
- Preprocessing data (creating testing and validation datasets, scaling)
- Parameters to choose from
- Save model structure