指挥控制与仿真
指揮控製與倣真
지휘공제여방진
COMMAND CONTROL & SIMULATION
2015年
2期
6-12
,共7页
战术任务推理%作战效能优势%视角变换%Hopfield神经网络%多目标优化
戰術任務推理%作戰效能優勢%視角變換%Hopfield神經網絡%多目標優化
전술임무추리%작전효능우세%시각변환%Hopfield신경망락%다목표우화
tactical tasks%operational effectiveness%perspective transformation%Hopfield neural network%multiple target optimization
针对传统战术任务推理方法难以处理对抗性意图存在欺骗行为的问题，通过变换态势分析人员视角，以敌方指挥员角度建立了基于作战效能最大化的单平台战术任务推理模型。模型首先根据对空防御战场态势构建了执行各战术任务的效能评价指标及其优势函数；进而将此多平台战术任务推理转化为多目标优化问题，并通过连续Hopfield神经网络优化算法对该问题进行求解。最后通过仿真实验对推理模型的可行性与有效性进行了验证。
針對傳統戰術任務推理方法難以處理對抗性意圖存在欺騙行為的問題，通過變換態勢分析人員視角，以敵方指揮員角度建立瞭基于作戰效能最大化的單平檯戰術任務推理模型。模型首先根據對空防禦戰場態勢構建瞭執行各戰術任務的效能評價指標及其優勢函數；進而將此多平檯戰術任務推理轉化為多目標優化問題，併通過連續Hopfield神經網絡優化算法對該問題進行求解。最後通過倣真實驗對推理模型的可行性與有效性進行瞭驗證。
침대전통전술임무추리방법난이처리대항성의도존재기편행위적문제，통과변환태세분석인원시각，이활방지휘원각도건립료기우작전효능최대화적단평태전술임무추리모형。모형수선근거대공방어전장태세구건료집행각전술임무적효능평개지표급기우세함수；진이장차다평태전술임무추리전화위다목표우화문제，병통과련속Hopfield신경망락우화산법대해문제진행구해。최후통과방진실험대추리모형적가행성여유효성진행료험증。
To solve the problem of traditional tactical tasks reasoning method is difficult to deal with antagonistic intention exists the problem of cheating, from transforming the perspective of situational analysis personnel, the model of tactical tasks reasoning for operation platform based on maximum operation efficiency was built. Firstly, according to the battlefield of anti?aircraft defending built the effectiveness evaluation index and the effectiveness advantage function for each tactical tasks. Then, the multi?platform tactical tasks reasoning was translated into the multiple target optimization problem, and the Hopfield neural network algorithm was designed to solve the problem. Finally, the simulation results indicate that the reason?ing model is feasible and effective.
