{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11965998","patent":{"patent_number":"US-11965998","title":"Training a machine learning system using hard and soft constraints","assignee":null,"inventors":[],"filing_date":"2020-05-11T00:00:00.000Z","publication_date":"2024-04-23T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06F","G06N"],"num_claims":20,"abstract":"A computer-implemented method includes receiving a test seismic dataset associated with a known truth interpretation, receiving one or more hard constraints, training a machine learning system based on the test seismic dataset, the known truth interpretation, and the one or more hard constraints, determining an error value based on the training the machine learning system, adjusting the error value based on one or more soft constraints, updating the training of the machine learning system based on the adjusted error value, receiving a second seismic dataset after the updating the training; applying the second seismic dataset to the machine learning system to generate an interpretation of the second seismic dataset, generating a seismic image representing a subterranean domain based on the interpretation of the second seismic dataset, and outputting the seismic image."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Training a machine learning system using hard and soft constraints","description":"A computer-implemented method includes receiving a test seismic dataset associated with a known truth interpretation, receiving one or more hard constraints, training a machine learning system based o","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11965998","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-11965998","citation_suggestion":"Patentable. \"Training a machine learning system using hard and soft constraints\" (US-11965998). https://patentable.app/patents/US-11965998","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11965998","json":"https://patentable.app/api/llm-context/US-11965998","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T10:41:08.193Z"}