【115/4/16】15:20-16:10 Prof. Ming-Cheng Shiue (Department of Applied Mathematics National Yang Ming Chiao Tung University）
| Colloquium | |
|---|---|
|
|
|
| Time | 2026-4-16 15:20-16:10 |
| Venue | 31106, Department of Mathematics |
| Speaker | Prof. Ming-Cheng Shiue (Department of Applied Mathematics National Yang Ming Chiao Tung University） |
| Title | Kolmogorov-Arnold Theorem and Its Connection to KAN Neural Networks |
| Abstract | The Kolmogorov-Arnold Representation Theorem (KAT) is a foundational result in mathematical analysis that states any multivariate continuous function can be represented as a superposition of continuous univariate functions and a finite number of additions. This theorem has played a crucial role in the development of function approximation theories and has recently gained renewed interest as the theoretical backbone of Kolmogorov-Arnold Networks (KANs). In this talk, I will review the historical development and refinements of the Kolmogorov-Arnold Theorem and the approximate capability of the KANs by using polynomials is presented. |
|
|
|
