Target selection using neural networks

机译：使用神经网络进行目标选择

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Target selection is the task of assigning a value or priority to various targets in a scenario. This priority is usually determined by the threat the target poses on the defender in addition to its vulnerability to possible measures to be taken by the defender. In this study, we describe a target selection technique based on neural networks. The utility or value of each target is assumed to be an unknown function acting on certain features of the target such as size, intensity, speed and direction of movement. Neural networks used in the context of function estimation is a viable candidate for determining this unknown function for generating target priorities. Various neural network configurations are examined and simulation results are presented.

机译：目标选择是为场景中的各种目标分配值或优先级的任务。此优先级通常由目标对防御者构成的威胁以及其对防御者可能采取的措施的脆弱性确定。在这项研究中，我们描述了一种基于神经网络的目标选择技术。假定每个目标的效用或值是作用于目标某些特征（例如大小，强度，速度和运动方向）的未知函数。在函数估计的上下文中使用的神经网络是确定此未知函数以生成目标优先级的可行候选人。检查了各种神经网络配置，并给出了仿真结果。

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来源
《Conference on Signal and Data Processing of Small Targets 2002, Apr 2-4, 2002, Orlando, USA》|2002年|p.36-47|共12页
会议地点 Orlando FL(US)
作者
M. Serhat Oezener; Yasemin Yardimci;
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作者单位

Orta Dogu Teknik Ueniversitesi Enformatik Enstituesue 06351 Ankara, Tuerkiye;

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原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
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Target selection using neural networks

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