The Design of Black Screen Alarm Message Monitoring System Based on Java by ANN

Nan Ma, Changjun Shui, Changqing Li, Binxiang Ma

Abstract: The use of ANN, a new advanced tool which called artificial neural networks, would been to simulate to determine the design the Black screen alarm message monitoring system based on java. The in putter layer are message gathering, message subscription, message advancement and system management, respectively, the outputer laryer is the Black screen alarm message monitoring system. The results show that the best network construction to be 4-9-1 while the momentum factor is 0.6 and learing rate is 0.8. Furthermore, the Sensitivity analysis (SA) show that system management is the most important parameter for the ANN model accuracy, the effect of message gathering, message subscription, message advancement are negative.