| dc.contributor.author |
Viswanathan, Sangeetha |
|
| dc.date.accessioned |
2024-10-28T07:03:23Z |
|
| dc.date.available |
2024-10-28T07:03:23Z |
|
| dc.date.issued |
2014-11 |
|
| dc.identifier.uri |
https://ijrat.org/downloads/Vol-2/nov-2014/paper%20ID-211201449.pdf |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16258 |
|
| dc.description.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 |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
International Journal of Research in Advent Technology |
en_US |
| dc.subject |
Computer Science |
en_US |
| dc.subject |
Pattern recognition |
en_US |
| dc.subject |
Spiking Neural Networks |
en_US |
| dc.subject |
Cognitive and decision Making |
en_US |
| dc.subject |
Supervised learning |
en_US |
| dc.title |
A survey on pattern recognition using spiking neural networks with temporal encoding and learning |
en_US |
| dc.type |
Article |
en_US |