• Version 4.0
• Download 62
• File Size 2.68 MB
• File Count 1
• Create Date June 7, 2019
• Last Updated November 24, 2020

NeuroMem Knowledge Builder

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Simple framework to train and validate a NeuroMem network to classify your datasets.

• Import dataset saved in text or csv format
• Experiment with the learning of your training sets
  • Compare data reduction, rate of convergence
  • Identify categories subject to confusion
• Experiment with the classifications of your testing sets
  • Compare RBF or K-NN classifications, K value and consolidation rules to handle cases of uncertainty
  • Qualify accuracy per category and vector, confusion matrix, etc.
• Export classification results
• Review, Save and Load the neurons' content (aka Knowledge)
• Simulate a cycle-accurate NeuroMem network of 8000 neurons, also interface to the NeuroShield board
• View the manual

 

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