Polymer raw material data analysis device and polymer raw material data analysis method
The polymer raw material data analysis device and method improve prediction accuracy by using one-dimensional spectral information and machine learning to create a learning model for predicting the structure and composition of polymer raw materials, particularly for diene rubbers like styrene-butadiene rubber.
JP7610094B2Active Publication Date: 2025-01-08THE YOKOHAMA RUBBER CO LTD
Patent Information
- Application Number
- JP2020115773
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2020-07-03
- Publication Date
- 2025-01-08
- Estimated Expiration
- 2040-07-03
Smart Images

Figure 0007610094000002 
Figure 0007610094000003 
Figure 0007610094000004
Abstract
To provide a high polymer material data analysis device and a high polymer material data analysis method in which a structure and composition of a high polymer material can be predicted with high prediction accuracy based on actually measured one-dimensional spectral information of the high polymer material.SOLUTION: A high polymer material data analysis method comprises the steps of: obtaining actually measured one-dimensional spectral information of plural kinds of high polymer materials; normalizing the one-dimensional spectral information for each high polymer material; obtaining composition information and structure information of the high polymer material and normalizing them for each piece of structure information of the high polymer material; calculating a correlation coefficient by correlation analysis based on the normalized one-dimensional spectral information and the normalized structure information; creating a learning model in which the one-dimensional spectral information is used as explanatory variable, and either one of the composition information or the structure information of the high polymer material is used as objective variable; repeatedly creating the learning model until an outcome of the learning model satisfies determination conditions; and predicting either one of structure or composition of the high polymer material by the learning model satisfying the determination conditions, using the one-dimensional spectral information.SELECTED DRAWING: Figure 2
Need to check novelty before this filing date? Find Prior Art
Citation Information
Patent Citations
Analysis data analyzer and method of analyzing analysis data
JP2018152000A
Spectrum analysis device and spectrum analysis method
JP2020071166A
Physical property prediction method and physical property prediction system
WO2019048965A1
Concentration measurement device, concentration measurement method, and non-transitory storage medium
WO2020110222A1