A tool to implement probabilistic automata in RAM-based neural networks

In previous works, it was proved that General Single-layer Sequential Weightless Neural Networks (GSSWNNs) are equivalent to probabilistic automata. The class of GSSWNNs is an important representative of the research on temporal pattern processing in Weightless Neural Networks or RAM-based neural ne...

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Bibliographische Detailangaben

Hauptverfasser:	de Souto, M. C. P., Oliveira, J. C. M., Ludermir, T. B.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial Intelligence Automata Computer Science Encoding Neural networks Neurons Phase change random access memory Probabilistic logic Transforms
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