Parallel algorithms based on neural network ensemble for risk assessment
Bao Li · Journal of Anhui University of Technology and Science · 2009
The article studies the parallelizing method for information security risk assessment.Based on neural network ensemble,the paper establishes the ways of parallel training by using some diversity neural network,and gives a numerical simulation example to illustrate these methods.The experimental results show that parallel algorithm can decrease the computing time and yield higher accuracy.