Abstract: An optical fiber sensing system for temperature and salinity synchronous measurement is provided, which includes a broad-spectrum light source, an optical fiber circulator, a coupler, a first interferometer, a second interferometer, a third interferometer and a spectrometer; the first interferometer is insensitive to temperature and salinity; the second interferometer is sensitive to both temperature and salinity, and the third interferometer is only sensitive to temperature; light emitted by the broad-spectrum light source passes through the optical fiber circulator and enters the first interferometer; reflected light of the first interferometer passes through the optical fiber circulator and the coupler sequentially, and then enters the second and the third interferometers respectively; the reflected light of the second and the third interferometers enters the spectrometer after passing through the coupler; the temperature and the salinity to be measured are simultaneously obtained by performing spectral an

Abstract: The present disclosure provides a method for generating a backbone network, an apparatus for generating a backbone network, a device, and a storage medium. The method includes: acquiring a set of a training image, a set of an inference image, and a set of an initial backbone network; training and inferring, for each initial backbone network in the set of the initial backbone network, the initial backbone network by using the set of the training image and the set of the inference image, to obtain an inference time and an inference accuracy of a trained backbone network in an inference process; determining a basic backbone network based on the inference time and the inference accuracy of the trained backbone network in the inference process; and obtaining a target backbone network based on the basic backbone network and a preset target network.

Abstract: The present disclosure provides an air combat maneuvering method based on parallel self-play, including the steps of constructing a UAV (unmanned aerial vehicle) maneuver model, constructing a red-and-blue motion situation acquiring model to describe a relative combat situation of red and blue sides, constructing state spaces and action spaces of both red and blue sides and a reward function according to a Markov process, followed by constructing a maneuvering decision-making model structure based on a soft actor-critic (SAC) algorithm, training the SAC algorithm by performing air combat confrontations to realize parallel self-play, and finally testing a trained network, displaying combat trajectories and calculating a combat success rate. The level of confrontations can be effectively enhanced and the combat success rate of the decision-making model can be increased.

Abstract: The present disclosure provides an air combat maneuvering method based on parallel self-play, including the steps of constructing a UAV (unmanned aerial vehicle) maneuver model, constructing a red-and-blue motion situation acquiring model to describe a relative combat situation of red and blue sides, constructing state spaces and action spaces of both red and blue sides and a reward function according to a Markov process, followed by constructing a maneuvering decision-making model structure based on a soft actor-critic (SAC) algorithm, training the SAC algorithm by performing air combat confrontations to realize parallel self-play, and finally testing a trained network, displaying combat trajectories and calculating a combat success rate. The level of confrontations can be effectively enhanced and the combat success rate of the decision-making model can be increased.