Learning System for Automatic Structural Analysis of Mass Spectra

摘要

A computer-assisted mass spectral interpretation system which has the capability of learning is described. The set of correspondences between substructure and spectral component (CSSC) is used for interpreting mass spectra. CSSC is generated, renewed and improved automatically in the system. This automatic generation is learning. Chemical structures are represented in terms of blocks.