شماره ركورد كنفرانس :
3835
عنوان مقاله :
Hand Written Character Recognition System Using Kohonen artificial neural network
پديدآورندگان :
pourmir Mohammad Reza Computer Engineering Department, Faculty of Engineering, University of zabol, Zabol, Iran Corresponding author
كليدواژه :
Artificial , Neural networks , Kohonen network , Paper , Recognition , Acquired , Handwritten , Neurons
عنوان كنفرانس :
اولين كنفرانس بين المللي مديريت، نوآوري و توليد ملي
چكيده فارسي :
This paper present a recognition system for hand written character using artificial neural networks. We use Kohonen Self Organization Map for pattern classification and recognition which employs unsupervised learning algorithm. The out come of this paper shows very encouraging performance for hand written character recognition.
