摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据来自乌克兰哈尔科夫的消息，NEWSRX通讯员的研究称，“我们提出了一种新开发的方法，它将Shkuratov等人(1999)的非线性光谱混合模型与机器学习算法结合起来，利用光谱数据绘制月球表土组成图。新方法比传统的数值优化方法快几个数量级。”允许绘制月球表面大面积的风积岩适当联系（包括矿物学组成、平均粒径和光学成熟度）。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Kharkiv, Ukraine, by N ewsRx correspondents, research stated, “We present a newly developed method whic h combines the nonlinear spectral mixing model of Shkuratov et al. (1999) with a machine learning algorithm to map the lunar regolith composition using spectral data. The new method performs orders of magnitude faster than the traditionally used numerical optimization approaches, allowing the mapping of regolith proper ties (including mineralogical composition, average grain size and optical maturi ty) over large areas of the lunar surface.”
NETL
NSTL