舰船电子工程2012，Vol.32Issue(3)：83-85,3.
基于神经网络的态势预测方法研究
Research on Situation Awareness Based on Neural Network
摘要
Abstract
To improving the precision of security solution awareness and reducing its complexity,enforcing the defensive ability of network system,the method of situation awareness based on neural network was introduced,and the method of situation awareness based on Radial-Basis Function（RBF） and BP Neural Network with Genetic Algorithm（GABP） were researched.Though self-learning and nonlinear mapping,neural network can approach function relations at any precision.The method have the characteristics of flexible architecture,better adaptive capacity,and high accuracy in middle short term situation awareness.关键词
安全态势感知/神经网络/径向基函数/遗传神经网络Key words
security situation awareness/neural network/RBF/GABP neural network分类
信息技术与安全科学引用本文复制引用
彭永红,张臣..基于神经网络的态势预测方法研究[J].舰船电子工程,2012,32(3):83-85,3.
