Pattern recognition using Spiking Neural Netwoks with temporal encoding and learning

Pattern Recognition plays important role in several activities like speech recognition, face recognitions, character recognition. Patterns are recognized using Spiking Neural Networks. Commonly neural networks are used in analytical decision making process and cognitive process. Spiking neural network with leaky integrate fire neurons are used to recognize the patterns. Biologically inspired supervised learning is used to recognize the pattern. Temporal encoding, learning, and readout process is carried out during classifying the patterns. Spiking neural networks process different inputs and produce the accurate and fast recognition of the particular pattern. In this paper iris data set has to be taken to classifying those patterns. By using a temporal encoding learning process are used in iris data set which is effectively and efficiently recognizing the pattern.