Difference between revisions of "Neural Network Unit Operation"

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'''64-bit Windows ZIP Package:''' [https://gumroad.com/products/FTdVs download]
 
'''64-bit Windows ZIP Package:''' [https://gumroad.com/products/FTdVs download]
  
'''64-bit Linux Debian Installer:''' [https://gumroad.com/products/QDMtr download]
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'''64-bit Linux Debian Installer (requires GLIB 2.27 or newer):''' [https://gumroad.com/products/QDMtr download]
  
 
'''64-bit macOS ZIP Package:''' [https://gumroad.com/products/uMlmLV download]
 
'''64-bit macOS ZIP Package:''' [https://gumroad.com/products/uMlmLV download]

Revision as of 19:27, 30 July 2020

Neuralnetwork2.png


The Neural Network Unit Operation can use field/lab data to train and evaluate a Multi-Output Regression Artificial Neural Network to be used as a Unit Operation in your process model.

Model Features

  • ANN Model Configuration Wizard: Create, Train, Evaluate and Make Predictions
  • Fully-configurable Model Training Parameters
  • Save the Trained Model to a ZIP file or embed it in the Unit Operation's internal data for better portability
  • Supports up to 10 Inlet/Outlet Material Streams + 1 Inlet/Outlet Energy Stream
  • Supports unlimited Input and Output Variables

Video Tutorial

Click here to watch the Video Tutorial

Download

The Neural Network Unit Operation is free and open-source and is available as a separate package and requires DWSIM v6.1 or newer to work.

64-bit Windows ZIP Package: download

64-bit Linux Debian Installer (requires GLIB 2.27 or newer): download

64-bit macOS ZIP Package: download

To install on Windows, unzip the contents of the zip package in the unitops folder inside DWSIM's installation directory. Create the folder if it doesn't exist.

To install on Linux, run the Debian Installer with sudo dpkg -i [packagename].

To install on macOS, unzip the contents of the zip package in the unitops folder inside DWSIM's App Bundle MonoBundle directory (DWSIM.app/Contents/MonoBundle). Create the folder if it doesn't exist.

Source Code

View Source Code @ GitHub

Support

Use the Forums to get support.