这就是为什么在推测海上位置时,比起月亮和星星,天文钟更受欢迎,因为它不那么令人费解。
Today the three-body problem is an important part of figuring out how black hole binaries might interact with single black holes, and from there how some of the most fundamental objects of the Universe interact with each other.
如今在研究黑洞双星如何与单个黑洞相互作用,以及宇宙中最基本的一些物体如何相互作用的问题上,三体问题是其中的重要组成部分。
Enter the neural network produced by researchers from the University of Edinburgh and the University of Cambridge in the UK, the University of Aveiro in Portugal, and Leiden University in the Netherlands.
这种神经网络是由英国爱丁堡大学、剑桥大学、葡萄牙阿威罗大学和荷兰莱顿大学的研究人员制作的。
The team developed a deep artificial neural network (ANN), trained on a database of existing three-body problems, plus a selection of solutions that have already been painstakingly worked out. The ANN was shown to have a lot of promise for reaching accurate answers much more quickly than we can today.
该团队开发了一种深度人工神经网络(ANN),它以现有的三体问题数据库和研究人员选出的精心制定的解决方案来进行训练。人工神经网络被证实有望比我们现有的方法更快得出准确的答案。
【新型神经网络可以用快1亿倍速度解决"三体问题"】相关文章:
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