• 4.0 Version
  • 58 Download
  • 2.68 MB File Size
  • June 7, 2019 Create Date
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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