Finite Neuron Method - Lecture 1

Explore a comprehensive lecture on the Finite Neuron Method delivered by Jinchao Xu at the Centre International de Rencontres Mathématiques in Marseille, France. Delve into topics such as finite element method, neural networks, convex support, and adaptive PD over the course of 1 hour and 23 minutes. Gain insights into special techniques, two-layer structures, and partial results, concluding with discussions on matchless methods and numerical PD. Access this recording, part of the "CEMRACS: Scientific Machine Learning" thematic meeting, through CIRM's Audiovisual Mathematics Library. Utilize chapter markers and keywords to navigate specific sections, and benefit from enriched content including abstracts, bibliographies, and Mathematics Subject Classification. Take advantage of the multi-criteria search function to explore a vast collection of talks by renowned mathematicians worldwide.

Introduction
Finite element method
Special ways
Neural network
Reload
Proof
convex support
two layers
partial results
conclusion
matchless method
numerical PD
adaptive PD
NK notation