IJCATR Volume 3 Issue 6

Pattern Recognition using Artificial Neural Network

Poonam Dabas Umesh Kumar
10.7753/IJCATR0306.1008
keywords : Recognition; Hopfield network; Back Propagation Network; Training Set

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An artificial neural network (ANN) usually called neural network. It can be considered as a resemblance to a paradigm which is inspired by biological nervous system. In network the signals are transmitted by the means of connections links. The links possess an associated way which is multiplied along with the incoming signal. The output signal is obtained by applying activation to the net input NN are one of the most exciting and challenging research areas. As ANN mature into commercial systems, they are likely to be implemented in hardware. Their fault tolerance and reliability are therefore vital to the functioning of the system in which they are embedded. The pattern recognition system is implemented with Back propagation network and Hopfield network to remove the distortion from the input. The Hopfield network has high fault tolerance which supports this system to get the accurate output.
@artical{p362014ijcatr03061008,
Title = "Pattern Recognition using Artificial Neural Network",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "3",
Issue ="6",
Pages ="358 - 360",
Year = "2014",
Authors ="Poonam Dabas Umesh Kumar"}
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