Neural network system and methods for analysis of organic materials and structures using spectral data
US5218529A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Jul 30, 1990 |
| Grant date | Jun 8, 1993 |
| Priority date | — |
| Expiry date | Jul 30, 2010 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/924
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatus and processes for recognizing and identifying materials. Characteristic spectra are obtained for the materials via spectroscopy techniques including nuclear magnetic resonance spectroscopy, infrared absorption analysis, x-ray analysis, mass spectroscopy and gas chromatography. Desired portions of the spectra may be selected and then placed in proper form and format for presentation to a number of input layer neurons in an offline neural network. The network is first trained according to a predetermined training process; it may then be employed to identify particular materials. Such apparatus and processes are particularly useful for recognizing and identifying organic compounds such as complex carbohydrates, whose spectra conventionally require a high level of training and many hours of hard work to identify, and are frequently indistinguishable from one another by human interpretation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.