@thesis{thesis,
		author={Kartikawati },
		title ={APLIKASI JARINGAN SYARAF TIRUAN PADA PENGENALAN TULISAN HURUF ARAB},
		year={2007},
		url={https://repository.unikom.ac.id/10375/},
		abstract={In this Skripsi. Writer make the appcation by using Artificial Nerve Network.     
 
 
 

Problem this character arab at recognition change of data pattern in course of this     
 
 
 

recognition huruf arab.     
 
 
 

This system data which can be recognized to come from image of character     
 
 
 

arab. Image of character arab to be recognized will process of image peocessing, where     
 
 
 

image which have fromat grayscale will be come the image owning lower level that in     
 
 
 

bynary image. This binary image character will recognition step. System of this character     
 
 
 

arab recognition own two especial step that is study information will be used to recognize     
 
 
 

the character arab recognition process.     
 
 
 

Pursuant to result of research of artificial nerve method Backpropogation able     
 
 
 

to recognize the image of character arab with the efficacy storey, level 87,84 %. System     
 
 
 

efficacy in recognizing each, every character image base on the pattern which have been     
 
 
 

learned by system.}
		}