Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200475668> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4200475668 abstract "Neural network based on memristor is one of the research hotspots in neuromorphic computation. Mostly, the weights of neural network are mapped to the conductance of memristor. During mapping stage, there are some problems, such as the weights in network simulation are infinite. While these are finite conductance states of memristor. In this paper, we propose a weight quantization method of convolutional neural network (CNN) based on memristor, in which the weight of each layer in the convolutional neural network is uniformly quantized to 32 conductance states. This study constitute array by constructing a 32 conductance states memristor model. At the same time, the conductance state of the model corresponds to the weights of the neural network. Furthermore, the array of 32-conductance state memristors are used to build the convolutional neural network circuit. The experimental results show that the CNN performs MNIST image recognition reaches an accuracy of 95.43% with the help of quantization method." @default.
- W4200475668 created "2021-12-31" @default.
- W4200475668 creator A5044233566 @default.
- W4200475668 creator A5051822885 @default.
- W4200475668 creator A5058470689 @default.
- W4200475668 creator A5079745525 @default.
- W4200475668 creator A5088890356 @default.
- W4200475668 date "2021-10-26" @default.
- W4200475668 modified "2023-09-27" @default.
- W4200475668 title "A Multi-conductance States Memristor-based CNN Circuit Using Quantization Method for Digital Recognition" @default.
- W4200475668 cites W2605663629 @default.
- W4200475668 cites W2769049661 @default.
- W4200475668 cites W2789137959 @default.
- W4200475668 cites W2887545993 @default.
- W4200475668 cites W2972686555 @default.
- W4200475668 cites W3001813906 @default.
- W4200475668 cites W3003821665 @default.
- W4200475668 cites W3098281398 @default.
- W4200475668 doi "https://doi.org/10.1109/asicon52560.2021.9620424" @default.
- W4200475668 hasPublicationYear "2021" @default.
- W4200475668 type Work @default.
- W4200475668 citedByCount "2" @default.
- W4200475668 countsByYear W42004756682022 @default.
- W4200475668 countsByYear W42004756682023 @default.
- W4200475668 crossrefType "proceedings-article" @default.
- W4200475668 hasAuthorship W4200475668A5044233566 @default.
- W4200475668 hasAuthorship W4200475668A5051822885 @default.
- W4200475668 hasAuthorship W4200475668A5058470689 @default.
- W4200475668 hasAuthorship W4200475668A5079745525 @default.
- W4200475668 hasAuthorship W4200475668A5088890356 @default.
- W4200475668 hasConcept C11413529 @default.
- W4200475668 hasConcept C119599485 @default.
- W4200475668 hasConcept C121332964 @default.
- W4200475668 hasConcept C121932024 @default.
- W4200475668 hasConcept C127413603 @default.
- W4200475668 hasConcept C150072547 @default.
- W4200475668 hasConcept C151927369 @default.
- W4200475668 hasConcept C153180895 @default.
- W4200475668 hasConcept C154945302 @default.
- W4200475668 hasConcept C184720557 @default.
- W4200475668 hasConcept C190502265 @default.
- W4200475668 hasConcept C24326235 @default.
- W4200475668 hasConcept C26873012 @default.
- W4200475668 hasConcept C28855332 @default.
- W4200475668 hasConcept C41008148 @default.
- W4200475668 hasConcept C50644808 @default.
- W4200475668 hasConcept C812465 @default.
- W4200475668 hasConcept C81363708 @default.
- W4200475668 hasConceptScore W4200475668C11413529 @default.
- W4200475668 hasConceptScore W4200475668C119599485 @default.
- W4200475668 hasConceptScore W4200475668C121332964 @default.
- W4200475668 hasConceptScore W4200475668C121932024 @default.
- W4200475668 hasConceptScore W4200475668C127413603 @default.
- W4200475668 hasConceptScore W4200475668C150072547 @default.
- W4200475668 hasConceptScore W4200475668C151927369 @default.
- W4200475668 hasConceptScore W4200475668C153180895 @default.
- W4200475668 hasConceptScore W4200475668C154945302 @default.
- W4200475668 hasConceptScore W4200475668C184720557 @default.
- W4200475668 hasConceptScore W4200475668C190502265 @default.
- W4200475668 hasConceptScore W4200475668C24326235 @default.
- W4200475668 hasConceptScore W4200475668C26873012 @default.
- W4200475668 hasConceptScore W4200475668C28855332 @default.
- W4200475668 hasConceptScore W4200475668C41008148 @default.
- W4200475668 hasConceptScore W4200475668C50644808 @default.
- W4200475668 hasConceptScore W4200475668C812465 @default.
- W4200475668 hasConceptScore W4200475668C81363708 @default.
- W4200475668 hasFunder F4320321001 @default.
- W4200475668 hasLocation W42004756681 @default.
- W4200475668 hasOpenAccess W4200475668 @default.
- W4200475668 hasPrimaryLocation W42004756681 @default.
- W4200475668 hasRelatedWork W2408724663 @default.
- W4200475668 hasRelatedWork W2509340480 @default.
- W4200475668 hasRelatedWork W2954871664 @default.
- W4200475668 hasRelatedWork W3048306463 @default.
- W4200475668 hasRelatedWork W3102452718 @default.
- W4200475668 hasRelatedWork W3127005194 @default.
- W4200475668 hasRelatedWork W3214075102 @default.
- W4200475668 hasRelatedWork W4200475668 @default.
- W4200475668 hasRelatedWork W4220807211 @default.
- W4200475668 hasRelatedWork W4303958936 @default.
- W4200475668 isParatext "false" @default.
- W4200475668 isRetracted "false" @default.
- W4200475668 workType "article" @default.