@article{(Open Science Index):https://publications.waset.org/pdf/7992,
	  title     = {Determination of an Efficient Differentiation Pathway of Stem Cells Employing Predictory Neural Network Model},
	  author    = {Mughal Yar M and  Israr Ul Haq and  Bushra Noman},
	  country	= {},
	  institution	= {},
	  abstract     = {The stem cells have ability to differentiated
themselves through mitotic cell division and various range of
specialized cell types. Cellular differentiation is a way by which few
specialized cell develops into more specialized.This paper studies the
fundamental problem of computational schema for an artificial neural
network based on chemical, physical and biological variables of
state. By doing this type of study system could be model for a viable
propagation of various economically important stem cells
differentiation. This paper proposes various differentiation outcomes
of artificial neural network into variety of potential specialized cells
on implementing MATLAB version 2009. A feed-forward back
propagation kind of network was created to input vector (five input
elements) with single hidden layer and one output unit in output
layer. The efficiency of neural network was done by the assessment
of results achieved from this study with that of experimental data
input and chosen target data. The propose solution for the efficiency
of artificial neural network assessed by the comparatative analysis of
“Mean Square Error" at zero epochs. There are different variables of
data in order to test the targeted results.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {10},
	  year      = {2010},
	  pages     = {1598 - 1601},
	  ee        = {https://publications.waset.org/pdf/7992},
	  url   	= {https://publications.waset.org/vol/46},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 46, 2010},
	}