GRNN model of network situation forecast
Gong Zheng-hu · Journal of PLA University of Science and Technology · 2012
Network Situation Forecast(NSF),as a necessary link of network situational awareness,enhances the network cognition and comprehension ability of administrators,and provides the decision support for threat analysis and plan design.Based on the analysis of the research background and forecast method,discussed some Artificial Neural Network(ANN) models and their features and advantages used in NSF,a Generalized Regression Neural Network(GRNN) Model of Network Situation Forecast: GRNNSF was proposed,and the GRNN design principle as well as NSF method presented.An experiment on real datasets was conducted to validate the GRNNSF model.The experiment results show that GRNNSF is more accurate and effective to reflect the network situation trend than other ANN models.