@article{(Open Science Index):https://publications.waset.org/pdf/9010,
	  title     = {Pattern Classification of Back-Propagation Algorithm Using Exclusive Connecting Network},
	  author    = {Insung Jung and  Gi-Nam Wang},
	  country	= {},
	  institution	= {},
	  abstract     = {The objective of this paper is to a design of pattern
classification model based on the back-propagation (BP) algorithm for
decision support system. Standard BP model has done full connection
of each node in the layers from input to output layers. Therefore, it
takes a lot of computing time and iteration computing for good
performance and less accepted error rate when we are doing some
pattern generation or training the network.
However, this model is using exclusive connection in between
hidden layer nodes and output nodes. The advantage of this model is
less number of iteration and better performance compare with standard
back-propagation model. We simulated some cases of classification
data and different setting of network factors (e.g. hidden layer number
and nodes, number of classification and iteration). During our
simulation, we found that most of simulations cases were satisfied by
BP based using exclusive connection network model compared to
standard BP. We expect that this algorithm can be available to
identification of user face, analysis of data, mapping data in between
environment data and information.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {1},
	  number    = {12},
	  year      = {2007},
	  pages     = {1785 - 1789},
	  ee        = {https://publications.waset.org/pdf/9010},
	  url   	= {https://publications.waset.org/vol/12},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 12, 2007},
	}