http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2022079266-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_bb4ee28d43b5e8d4a3c5141fa9bcfeb0 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate | 2020-11-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d55d9793a1d6a381d649f23303f59c49 |
| publicationDate | 2022-05-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | JP-2022079266-A |
| titleOfInvention | Training model generation method, program, storage medium, trained model |
| abstract | PROBLEM TO BE SOLVED: To provide a method for generating a novel learning model regarding the mechanical stability of an aqueous dispersion of a fluoropolymer. SOLUTION: This is a learning model generation method for generating a learning model for determining the evaluation of mechanical stability of a fluoropolymer aqueous dispersion using a computer, and at least the dispersion information, the test condition information, and the evaluation are provided. In the acquisition step (S12) in which the computer acquires the included information as teacher data, in the learning step (S15) and the learning step (S15) in which the computer learns based on the plurality of teacher data acquired in the acquisition step (S12). The computer includes a generation step (S16) for generating a learning model based on the learning result, and the learning model outputs an evaluation by inputting input information which is unknown information different from the teacher data, and the input information is the input information. , A learning model generation method that is information including at least dispersion liquid information and test condition information. [Selection diagram] Fig. 1 |
| priorityDate | 2020-11-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 39.