Design and Application Based on a Coboundary Homology Learning Algorithm

In this article,the method of crystal structure data analysis is introduced.The processing technology of research crystal recognition mainly have electron diffraction intensity experience correction method and the crystalline phase extension processing technology recently,entropy solution processing technology of volume and high resolution,crystallography image processing technology.This article is inspired from physicists using homology theory to analyze the crystal data.In the light of the crystal data partition,a new method ofhomology theory from the perspective of machine learning to study the edge division is introduced.Raise design and application based on a coboundary homology learning algorithm.