@article{(Open Science Index):https://publications.waset.org/pdf/9230,
	  title     = {Recurrent Radial Basis Function Network for Failure Time Series Prediction},
	  author    = {Ryad Zemouri and  Paul Ciprian Patic},
	  country	= {},
	  institution	= {},
	  abstract     = {An adaptive software reliability prediction model
using evolutionary connectionist approach based on Recurrent Radial
Basis Function architecture is proposed. Based on the currently
available software failure time data, Fuzzy Min-Max algorithm is
used to globally optimize the number of the k Gaussian nodes. The
corresponding optimized neural network architecture is iteratively
and dynamically reconfigured in real-time as new actual failure time
data arrives. The performance of our proposed approach has been
tested using sixteen real-time software failure data. Numerical results
show that our proposed approach is robust across different software
projects, and has a better performance with respect to next-steppredictability
compared to existing neural network model for failure
time prediction.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {12},
	  year      = {2010},
	  pages     = {1920 - 1924},
	  ee        = {https://publications.waset.org/pdf/9230},
	  url   	= {https://publications.waset.org/vol/48},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 48, 2010},