Recurrent neural networks with diagonal and programming fluctuation to find energy global minima
US11599771B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Jan 29, 2019 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Jun 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Recurrent neural networks, and methods therefor, are provided with diagonal and programming fluctuation to find energy global minima. The method may include storing the matrix of weights in memory cells of a crossbar array of a recursive neural network prior to operation of the recursive neural network; altering the weights according to a probability distribution; setting the weights to non-zero values in at least one of the memory cells in a diagonal of the memory cells in the crossbar array; and operating the recursive neural network.
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