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Article
Simplified Neural Network Design for Hand Written Digit Recognition
International Journal of Computer Science and Information Security (IJCSIS) (2011)
  • Dr. Muhammad Zubair Asghar
Abstract
In this work a very simple and flexible neural network scheme is proposed and implemented for handwritten digit recognition, which will assist beginners and A.I students who want to understand perceptive capability of neural network. In the proposed system, a very simple design of artificial neural networks is implemented. First of all learning mechanism of the neural network is described and then its architecture is discussed. Proposed network is trained in supervised manner using various (approx: 250) patterns /fonts of handwritten digits. Unique token is allocated to digit when it is made input to the system. Network becomes adaptive when different patterns of the same digit are taught to the network for one particular token.
Keywords
  • Neural Network,
  • Visula Images,
  • digit recognition
Publication Date
Summer June 9, 2011
Publisher Statement
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 9, No. 6, June 2011 (HEC Recognized)
Citation Information
Dr. Muhammad Zubair Asghar. "Simplified Neural Network Design for Hand Written Digit Recognition" International Journal of Computer Science and Information Security (IJCSIS) Vol. 9 Iss. 6 (2011)
Available at: http://works.bepress.com/drzubair/7/