Matches in SemOpenAlex for { <https://semopenalex.org/work/W4303969101> ?p ?o ?g. }
- W4303969101 endingPage "1700" @default.
- W4303969101 startingPage "1700" @default.
- W4303969101 abstract "Reservoir Computing (RC) is a network architecture inspired by biological neural systems that maps time-dimensional input features to a high-dimensional space for computation. The key to hardware implementation of the RC system is whether sufficient reservoir states can be generated. In this paper, a laboratory-prepared zinc oxide (ZnO) memristor is reported and modeled. The device is found to have nonlinear dynamic responses and characteristics of simulating neurosynaptic long-term potentiation (LTP) and long-term depression (LTD). Based on this, a novel two-level RC structure based on the ZnO memristor is proposed. Novel synaptic encoding is used to maintain stress activity based on the characteristics of after-discharge and proneness to fatigue during synaptic transmission. This greatly alleviates the limitations of the self-attenuating characteristic reservoir of the duration and interval of the input signal. This makes the reservoir, in combination with a fully connected neural network, an ideal system for time series classification. The experimental results show that the recognition rate for the complete MNIST dataset is 95.08% when 35 neurons are present as hidden layers while achieving low training consumption." @default.
- W4303969101 created "2022-10-10" @default.
- W4303969101 creator A5005842279 @default.
- W4303969101 creator A5013176295 @default.
- W4303969101 creator A5042311991 @default.
- W4303969101 creator A5044233566 @default.
- W4303969101 creator A5051822885 @default.
- W4303969101 creator A5088890356 @default.
- W4303969101 date "2022-10-10" @default.
- W4303969101 modified "2023-10-18" @default.
- W4303969101 title "Reservoir Computing-Based Design of ZnO Memristor-Type Digital Identification Circuits" @default.
- W4303969101 cites W1885185971 @default.
- W4303969101 cites W2018774711 @default.
- W4303969101 cites W2019061854 @default.
- W4303969101 cites W2029939668 @default.
- W4303969101 cites W2036451492 @default.
- W4303969101 cites W2047505801 @default.
- W4303969101 cites W2103179919 @default.
- W4303969101 cites W2112796928 @default.
- W4303969101 cites W2143187185 @default.
- W4303969101 cites W2162651880 @default.
- W4303969101 cites W2317230785 @default.
- W4303969101 cites W2329961282 @default.
- W4303969101 cites W2526646482 @default.
- W4303969101 cites W2584998015 @default.
- W4303969101 cites W2613205562 @default.
- W4303969101 cites W2613833839 @default.
- W4303969101 cites W2618530766 @default.
- W4303969101 cites W2772397789 @default.
- W4303969101 cites W2782791387 @default.
- W4303969101 cites W2789326804 @default.
- W4303969101 cites W2887258823 @default.
- W4303969101 cites W2959627720 @default.
- W4303969101 cites W2960778947 @default.
- W4303969101 cites W2971405544 @default.
- W4303969101 cites W2979589704 @default.
- W4303969101 cites W2996221948 @default.
- W4303969101 cites W3003821665 @default.
- W4303969101 cites W3019129333 @default.
- W4303969101 cites W3027469258 @default.
- W4303969101 cites W3052229291 @default.
- W4303969101 cites W3100560308 @default.
- W4303969101 cites W3122214732 @default.
- W4303969101 cites W3174261480 @default.
- W4303969101 cites W3198875014 @default.
- W4303969101 cites W3200326306 @default.
- W4303969101 cites W3204457379 @default.
- W4303969101 cites W3204967249 @default.
- W4303969101 cites W4214829631 @default.
- W4303969101 cites W4220971141 @default.
- W4303969101 cites W4221098311 @default.
- W4303969101 cites W4223954985 @default.
- W4303969101 cites W4293211510 @default.
- W4303969101 doi "https://doi.org/10.3390/mi13101700" @default.
- W4303969101 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36296053" @default.
- W4303969101 hasPublicationYear "2022" @default.
- W4303969101 type Work @default.
- W4303969101 citedByCount "1" @default.
- W4303969101 countsByYear W43039691012023 @default.
- W4303969101 crossrefType "journal-article" @default.
- W4303969101 hasAuthorship W4303969101A5005842279 @default.
- W4303969101 hasAuthorship W4303969101A5013176295 @default.
- W4303969101 hasAuthorship W4303969101A5042311991 @default.
- W4303969101 hasAuthorship W4303969101A5044233566 @default.
- W4303969101 hasAuthorship W4303969101A5051822885 @default.
- W4303969101 hasAuthorship W4303969101A5088890356 @default.
- W4303969101 hasBestOaLocation W43039691011 @default.
- W4303969101 hasConcept C119599485 @default.
- W4303969101 hasConcept C121332964 @default.
- W4303969101 hasConcept C127413603 @default.
- W4303969101 hasConcept C135796866 @default.
- W4303969101 hasConcept C147168706 @default.
- W4303969101 hasConcept C150072547 @default.
- W4303969101 hasConcept C151927369 @default.
- W4303969101 hasConcept C154945302 @default.
- W4303969101 hasConcept C158622935 @default.
- W4303969101 hasConcept C170493617 @default.
- W4303969101 hasConcept C184720557 @default.
- W4303969101 hasConcept C185592680 @default.
- W4303969101 hasConcept C190502265 @default.
- W4303969101 hasConcept C24326235 @default.
- W4303969101 hasConcept C25274449 @default.
- W4303969101 hasConcept C41008148 @default.
- W4303969101 hasConcept C50644808 @default.
- W4303969101 hasConcept C55493867 @default.
- W4303969101 hasConcept C62520636 @default.
- W4303969101 hasConcept C66949984 @default.
- W4303969101 hasConcept C761482 @default.
- W4303969101 hasConcept C76155785 @default.
- W4303969101 hasConceptScore W4303969101C119599485 @default.
- W4303969101 hasConceptScore W4303969101C121332964 @default.
- W4303969101 hasConceptScore W4303969101C127413603 @default.
- W4303969101 hasConceptScore W4303969101C135796866 @default.
- W4303969101 hasConceptScore W4303969101C147168706 @default.
- W4303969101 hasConceptScore W4303969101C150072547 @default.
- W4303969101 hasConceptScore W4303969101C151927369 @default.
- W4303969101 hasConceptScore W4303969101C154945302 @default.
- W4303969101 hasConceptScore W4303969101C158622935 @default.