Ryad Zemouri and Paul Ciprian Patic
Recurrent Radial Basis Function Network for Failure Time Series Prediction
1920 - 1924
2010
4
12
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/9230
https://publications.waset.org/vol/48
World Academy of Science, Engineering and Technology
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 MinMax 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 realtime as new actual failure time
data arrives. The performance of our proposed approach has been
tested using sixteen realtime software failure data. Numerical results
show that our proposed approach is robust across different software
projects, and has a better performance with respect to nextsteppredictability
compared to existing neural network model for failure
time prediction.
Open Science Index 48, 2010