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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16258
Title: A survey on pattern recognition using spiking neural networks with temporal encoding and learning
Authors: Viswanathan, Sangeetha
Keywords: Computer Science
Pattern recognition
Spiking Neural Networks
Cognitive and decision Making
Supervised learning
Issue Date: Nov-2014
Publisher: International Journal of Research in Advent Technology
Abstract: This 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 recognition
URI: https://ijrat.org/downloads/Vol-2/nov-2014/paper%20ID-211201449.pdf
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16258
Appears in Collections:Department of Computer Science and Information Systems

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