论文标题
使用人工神经网络识别影响地球的小行星
Identifying Earth-impacting asteroids using an artificial neural network
论文作者
论文摘要
通过完全连接的人工神经网络，我们确定了具有影响地球的潜力的小行星。所得的仪器（称为危险对象标识符（HOI））是基于人造的已知撞击器训练的，这些仪器是通过从地球表面启动对象而产生的，并随着时间的推移向后集成。 HOI能够识别出95.25％的已知影响器，这些撞击器模拟了，这些撞击器是潜在的撞击器。此外，HOI能够识别出NASA确定的潜在危险物体的90.99％，而无需直接对其进行培训。
By means of a fully connected artificial neural network, we identified asteroids with the potential to impact Earth. The resulting instrument, named the Hazardous Object Identifier (HOI), was trained on the basis of an artificial set of known impactors which were generated by launching objects from Earth's surface and integrating them backward in time. HOI was able to identify 95.25% of the known impactors simulated that were present in the test set as potential impactors. In addition, HOI was able to identify 90.99% of the potentially hazardous objects identified by NASA, without being trained on them directly.
