Product Description

• • Windows-based application using a NeuroMem network to learn and classify sets of vectors
• • Training and testing dataset are easy to format in txt and csv format
• • Agnostics to the data types
• • Input vectors be features extracted from measurements, signals, images or else
• • Learning diagnostics reports how many neurons are required, as a summary and detailed per category
• • Classification diagnostics reports the accuracy and throughput of the recognition, as a summary and detailed per category
• • Review the manual>>
• • Simulates NeuroMem network of 1024 neurons
• • Interfaces to NeuroStack and NeuroShield