Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283657029> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W4283657029 abstract "In this work, both simulated and experimental studies have been carried out using Spiking Neural Networks (SNNs) on the handwritten digit recognition problem. The design of SNN is performed using Spike Response Model (SRM). A gradient based algorithm is applied for the learning of SNN. For the simulations, the proposed algorithms have been applied on the MNIST data set. To provide a basis for comparison, the same studies have been also performed for an equivalent non-spiking artificial neural network (ANN) structure. Following the simulated studies, experiments utilizing a multi touch IR frame have been carried out for both network structures. Two different approaches have been adopted to evaluate the performance of the proposed network models: In the first one, the training of the network structures has been accomplished on the MNIST data set, whereas the data acquired from the experimental setup have been used in the testing phase. Next, the data obtained from the experimental setup have been employed in both training and testing of the neural networks. The results of the simulations and experimental studies reveal that the SNN outperforms the conventional ANN." @default.
- W4283657029 created "2022-06-29" @default.
- W4283657029 creator A5042437594 @default.
- W4283657029 creator A5070066593 @default.
- W4283657029 creator A5080964346 @default.
- W4283657029 date "2022-06-09" @default.
- W4283657029 modified "2023-10-01" @default.
- W4283657029 title "Handwritten Digit Recognition using Spiking Neural Networks" @default.
- W4283657029 cites W101771737 @default.
- W4283657029 cites W1628133310 @default.
- W4283657029 cites W1636374184 @default.
- W4283657029 cites W1976053677 @default.
- W4283657029 cites W2005847692 @default.
- W4283657029 cites W2031132539 @default.
- W4283657029 cites W2089620376 @default.
- W4283657029 cites W2140942328 @default.
- W4283657029 cites W2156818555 @default.
- W4283657029 cites W2569813014 @default.
- W4283657029 cites W2768121648 @default.
- W4283657029 cites W3035558131 @default.
- W4283657029 cites W4238614602 @default.
- W4283657029 cites W2152711872 @default.
- W4283657029 doi "https://doi.org/10.1109/hora55278.2022.9799818" @default.
- W4283657029 hasPublicationYear "2022" @default.
- W4283657029 type Work @default.
- W4283657029 citedByCount "1" @default.
- W4283657029 countsByYear W42836570292023 @default.
- W4283657029 crossrefType "proceedings-article" @default.
- W4283657029 hasAuthorship W4283657029A5042437594 @default.
- W4283657029 hasAuthorship W4283657029A5070066593 @default.
- W4283657029 hasAuthorship W4283657029A5080964346 @default.
- W4283657029 hasConcept C11731999 @default.
- W4283657029 hasConcept C119857082 @default.
- W4283657029 hasConcept C126042441 @default.
- W4283657029 hasConcept C153180895 @default.
- W4283657029 hasConcept C154945302 @default.
- W4283657029 hasConcept C177264268 @default.
- W4283657029 hasConcept C190502265 @default.
- W4283657029 hasConcept C199360897 @default.
- W4283657029 hasConcept C2984784707 @default.
- W4283657029 hasConcept C41008148 @default.
- W4283657029 hasConcept C50644808 @default.
- W4283657029 hasConcept C58489278 @default.
- W4283657029 hasConcept C76155785 @default.
- W4283657029 hasConceptScore W4283657029C11731999 @default.
- W4283657029 hasConceptScore W4283657029C119857082 @default.
- W4283657029 hasConceptScore W4283657029C126042441 @default.
- W4283657029 hasConceptScore W4283657029C153180895 @default.
- W4283657029 hasConceptScore W4283657029C154945302 @default.
- W4283657029 hasConceptScore W4283657029C177264268 @default.
- W4283657029 hasConceptScore W4283657029C190502265 @default.
- W4283657029 hasConceptScore W4283657029C199360897 @default.
- W4283657029 hasConceptScore W4283657029C2984784707 @default.
- W4283657029 hasConceptScore W4283657029C41008148 @default.
- W4283657029 hasConceptScore W4283657029C50644808 @default.
- W4283657029 hasConceptScore W4283657029C58489278 @default.
- W4283657029 hasConceptScore W4283657029C76155785 @default.
- W4283657029 hasLocation W42836570291 @default.
- W4283657029 hasOpenAccess W4283657029 @default.
- W4283657029 hasPrimaryLocation W42836570291 @default.
- W4283657029 hasRelatedWork W1964692985 @default.
- W4283657029 hasRelatedWork W2545737116 @default.
- W4283657029 hasRelatedWork W2597787948 @default.
- W4283657029 hasRelatedWork W2742991909 @default.
- W4283657029 hasRelatedWork W2810865670 @default.
- W4283657029 hasRelatedWork W3017078175 @default.
- W4283657029 hasRelatedWork W4236949603 @default.
- W4283657029 hasRelatedWork W4250670666 @default.
- W4283657029 hasRelatedWork W4283657029 @default.
- W4283657029 hasRelatedWork W4285816666 @default.
- W4283657029 isParatext "false" @default.
- W4283657029 isRetracted "false" @default.
- W4283657029 workType "article" @default.