Human intelligent evaluation method based on Bayesian deep learning

The invention provides a human intelligent evaluation method based on Bayesian deep learning, and belongs to the technical field of unmanned aerial vehicle intention recognition. The technical problem that the intention of the enemy unmanned aerial vehicle cannot be accurately judged in an uncertain environment is solved. According to the technical scheme, a Bayesian deep learning network suitable for intention recognition is established, and situation information of an enemy unmanned aerial vehicle is collected; taking situation information of the enemy unmanned aerial vehicle as input, and independently judging the intention of the enemy unmanned aerial vehicle by using the established Bayesian deep learning network and human intelligence; and machine intelligence judgment results are integrated through a reasoning mechanism, so that human intelligence judgment results are reasoned and verified. The method has the beneficial effects that in a complex and uncertain environment, the calculation advantage of m