Bayesian network-based combat effectiveness evaluation method of surveillance unmanned aerial vehicles

Abstract

The invention provides a Bayesian network-based combat effectiveness evaluation method of the surveillance unmanned aerial vehicles. The method comprises three parts of establishing an effectiveness evaluation index system, establishing a Bayesian network effectiveness evaluation model and performing the Bayesian network reasoning. By analyzing a combat system structure and a basic combat process,utilizing an entropy weight method to screen an efficiency evaluation index set, and constructing an index system for the combat efficiency evaluation of the surveillance unmanned aerial vehicles, the index system is simpler and more reasonable; a Monte Carlo algorithm is used for parameter learning of the Bayesian network, so that a conditional probability table is determined, the trouble of manually inputting the conditional probability table is avoided, and the efficiency is greatly improved; and the accurate inference of the Bayesian network is carried out by utilizing a cluster tree propagation algorithm, so that the reasoning time is saved, and the reasoning accuracy is improved.

Description

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AI Technical Summary

Benefits of technology

This new technology allows for easier understanding when selecting an appropriate search term based on factors like relevance or importance. It uses both methods to make it faster than previous techniques while still being effective at finding relevant data from large databases quickly. Additionally, this innovative technique helps predict future events accurately through learning about past behavior patterns over time.

Problems solved by technology

Technological Problem: Current Military Helicopery (MH) surveillance systems are limited because they require human pilots or other assets during their operations due to lacking situational awareness and precision capabilities needed for accurate data collection. However, there remains room for improvement even if these techniques were developed over time.

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