Using neural networks to model Main Belt Asteroid albedos as a function of their proper orbital elements

This repository contains a copy of the following repository https://github.com/r-zachary-murray/Asteroid-Albedos. It contains weights for an ensemble of neural nets trained on the Asteroid Family Portal proper elements and NEOWISE albedos. These weights can be used to predict albedos of asteroids based of their proper elements. Example.ipynb contains an ipython notebook that shows how these predictions can be made.

本仓库复刻了如下仓库：https://github.com/r-zachary-murray/Asteroid-Albedos。本仓库包含基于小行星家族门户（Asteroid Family Portal）固有元素与NEOWISE反照率数据训练得到的神经网络集成模型权重。依托上述模型权重，可基于小行星的固有元素预测其反照率。示例文件Example.ipynb为一份IPython笔记本（ipython notebook），演示了如何开展上述反照率预测工作。