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dc.contributor.authorViswanathan, Sangeetha-
dc.date.accessioned2024-10-28T07:03:23Z-
dc.date.available2024-10-28T07:03:23Z-
dc.date.issued2014-11-
dc.identifier.urihttps://ijrat.org/downloads/Vol-2/nov-2014/paper%20ID-211201449.pdf-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16258-
dc.description.abstractThis paper, recognize of the patterns using spiking neural networks with temporal encoding and learning. Neural networks place the important role in cognitive and decision making process. Processing the different type of inputs lead to find the discriminate the pattern. Leaky Integrate Fire Neurons are used to recognize the patterns. During the recognition supervised learning method is used to make the decision. Temporal encoding and learning of spiking neural network is used to classify effectively. Different spiking neural networks learning algorithm are used to recognize the patterns and also analyze the performance of the particular algorithm which was used in the pattern recognitionen_US
dc.language.isoenen_US
dc.publisherInternational Journal of Research in Advent Technologyen_US
dc.subjectComputer Scienceen_US
dc.subjectPattern recognitionen_US
dc.subjectSpiking Neural Networksen_US
dc.subjectCognitive and decision Makingen_US
dc.subjectSupervised learningen_US
dc.titleA survey on pattern recognition using spiking neural networks with temporal encoding and learningen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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