@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}, }