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Dynamic Network based Learning Systems for Sensor Information Fusion

机译:基于动态网络的传感器信息融合学习系统

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摘要

In order to get the modularity and reconfigurability for sensor information fusion services in modern battle-spaces, dynamic service composition and dynamic topology determination is needed. In the current state-of-the-art, such information fusion services are composed manually and in a programmatic manner. In this paper, we consider an approach towards more automation by assuming that the topology of a solution is provided, and automatically choosing the different types and kinds of algorithms which can be used at each step. This includes the use of contextual information and techniques such as multi-arm bandits for investing the exploration and exploitation tradeoff.
机译:为了获得现代战场中传感器信息融合服务的模块化和可重构性,需要动态服务组合和动态拓扑确定。在当前的最新技术中,这样的信息融合服务是手动地并且以编程方式组成的。在本文中,我们假设提供了解决方案的拓扑,并自动选择可以在每个步骤中使用的不同类型和种类的算法,从而考虑了实现更高自动化程度的方法。这包括使用上下文信息和技术(例如多臂匪徒)来进行勘探和开发权衡。

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