- 4.0 Version
- 48 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