价值工程
價值工程
개치공정
VALUE ENGINEERING
2015年
6期
306-307
,共2页
威胁评估%RBF神经网络%评估指标
威脅評估%RBF神經網絡%評估指標
위협평고%RBF신경망락%평고지표
threat assessment%RBF neural network%assessment indexes
为解决信息化装甲分队目标威胁评估问题，依据径向基函数（RBF）神经网络的快速性和唯一最佳逼近性设计了改进型RBF神经网络。实例分析表明，该改进方法可满足不同作战样式下目标威胁评估要求，具有较高的实用价值。
為解決信息化裝甲分隊目標威脅評估問題，依據徑嚮基函數（RBF）神經網絡的快速性和唯一最佳逼近性設計瞭改進型RBF神經網絡。實例分析錶明，該改進方法可滿足不同作戰樣式下目標威脅評估要求，具有較高的實用價值。
위해결신식화장갑분대목표위협평고문제，의거경향기함수（RBF）신경망락적쾌속성화유일최가핍근성설계료개진형RBF신경망락。실례분석표명，해개진방법가만족불동작전양식하목표위협평고요구，구유교고적실용개치。
The threat assessment of informational armored unit is studied. The existing assessment methods are unsatisfying without considering the combat style. In order to solve this, this paper establishes the improved RBF according to the rapidity and the optimal approximation ability of RBF neural network. The example shows that the modified method not only meets the demands of battle ground and tactics, but also has a high practical value.
