Develop neural and conventional classifiers #Software Validation #Nonlinear Classification #Multilayer Perceptron #Validation #Multilayer #Classification
Nuclass is a tool that was created to help you train and validate classification type networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, and nearest neighbor classifier.
The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create a nested sequence of different size networks, to facilitate structural risk minimization.
User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network classification error and SOM cluster formation are included.
Nuclass is highly automated and requires very few parameter choices. Advanced features include network sizing and feature selection. Training data can be compressed using the discrete Karhunen-Loeve' transform (KLT).
Nuclass 7.1
add to watchlist add to download basket send us an update REPORT- runs on:
-
Windows 8
Windows 7
Windows Vista
Windows XP
Windows 2K - file size:
- 14.7 MB
- filename:
- Nuclass71.zip
- main category:
- Programming
- developer:
- visit homepage
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- Windows Sandbox Launcher
- Zoom Client
- IrfanView
- Microsoft Teams
- 7-Zip
- ShareX
- 4k Video Downloader
- Bitdefender Antivirus Free
- Context Menu Manager
- calibre