• May 27, 2016 News!The submission for Special Issue is officially open now!   [Click]
  • May 03, 2016 News!Vol.6, No.6 has been indexed by EI (Inspec).   [Click]
  • Mar 17, 2017 News!Vol.9, No.2 has been published with online version. 13 peer reviewed articles from 4 specific areas are published in this issue.   [Click]
General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2011 Vol.3(5): 652-655 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.386

Analysis of Back Propagation of Neural Network Method in the String Recognition

Amit Kumar Gupta and Yash Pal Singh
Abstract—This paper aims that analysing neural network method in pattern recognition. A neural network is a processing device, whose design was inspired by the design and functioning of human brain and their components. The proposed solutions focus on applying Back Propagation Algorithm model for pattern recognition. The primary function of which is to retrieve in a pattern stored in memory, when an incomplete or noisy version of that pattern is presented. An associative memory is a storehouse of associated patterns that are encoded in some form. In auto-association, an input pattern is associated with itself and the states of input and output units coincide. When the storehouse is incited with a given distorted or partial pattern, the associated pattern pair stored in its perfect form is recalled. Pattern recognition techniques are associated a symbolic identity with the image of the pattern. This problem of replication of patterns by machines (computers) involves the machine printed patterns. There is no idle memory containing data and programmed, but each neuron is programmed and continuously active.

Index Terms—Neural network, machine printed string, pattern recognition, a perceptron-type network, learning, recognition, connection.

Amit Kumar Gupta is MCA Department KIET, Ghaziabad(UP),India (E-mail: amitid29@gmail.com)
Yash Pal Singh is Reader and Head,CSE Deptt BIET, Jhansi (UP), India (E-mail:yash_biet@yahoo.co.in)

[PDF]

Cite: Amit Kumar Gupta and Yash Pal Singh, "Analysis of Back Propagation of Neural Network Method in the String Recognition," International Journal of Computer Theory and Engineering vol. 3, no. 5, pp. 652-655, 2011.
Copyright © 2008-2015. International Journal of Computer Theory and Engineering. All rights reserved.
E-mail: ijcte@vip.163.com