论文标题
通过深度学习缩小组合和双曲结的差异
Narrowing the Gap between Combinatorial and Hyperbolic Knot Invariants via Deep Learning
论文作者
论文摘要
我们提出了一种基于线性回归和与完全连接的人工神经网络的数学实体之间关系的统计方法。该策略应用于计算结数据和组合结和双曲结之间的经验连接。
We present a statistical approach for the discovery of relationships between mathematical entities that is based on linear regression and deep learning with fully connected artificial neural networks. The strategy is applied to computational knot data and empirical connections between combinatorial and hyperbolic knot invariants are revealed.
