{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11995553","patent":{"patent_number":"US-11995553","title":"Parameterization of a machine learning system for a control system","assignee":null,"inventors":[],"filing_date":"2019-08-13T00:00:00.000Z","publication_date":"2024-05-28T00:00:00.000Z","cpc_codes":["G05B","G06N","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06N"],"num_claims":14,"abstract":"A method for parameterizing a machine learning system, in particular a neural network, that is configured to ascertain in each case an associated class of a plurality of classes from input data. The machine learning system is trained once with correctly labeled training data, and once with not correctly labeled training data. Hyperparameters of the machine learning system are selected in such a way that the particular trained machine learning system may reproduce actual classifications of the correctly labeled training data better than actual classifications of the not correctly labeled training data."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Parameterization of a machine learning system for a control system","description":"A method for parameterizing a machine learning system, in particular a neural network, that is configured to ascertain in each case an associated class of a plurality of classes from input data. The m","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11995553","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11995553","citation_suggestion":"Patentable. \"Parameterization of a machine learning system for a control system\" (US-11995553). https://patentable.app/patents/US-11995553","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11995553","json":"https://patentable.app/api/llm-context/US-11995553","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T07:02:14.442Z"}