OUTPUT FROM A RECURRENT NEURAL NETWORK

OUTPUT FROM A RECURRENT NEURAL NETWORK

Application of the output from a recurrent artificial neural network to a variety of different applications. A method can include identifying topological patterns of activity in a recurrent artificial neural network, outputting a collection of digits, and inputting a first digit of the collection to...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Rahmon, John, Atanasoaei, Constantin Cosmin, Schürmann, Felix, Delalondre, Fabien Jonathan, Markram, Henry, Lütgehetmann, Daniel Milan, De Gruttola, Michele
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Application of the output from a recurrent artificial neural network to a variety of different applications. A method can include identifying topological patterns of activity in a recurrent artificial neural network, outputting a collection of digits, and inputting a first digit of the collection to a first application that is designed to fulfil a first purpose and to a second application that is designed to fulfil a second purpose, wherein the first purpose differs from the second purpose. The topological patterns are responsive to an input of data into the recurrent artificial neural network and each topological pattern abstracts a characteristic of the input data. Each digit represents whether one of the topological patterns of activity has been identified in the artificial neural network.