{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11489732","patent":{"patent_number":"US-11489732","title":"Classification and relationship correlation learning engine for the automated management of complex and distributed networks","assignee":null,"inventors":[],"filing_date":"2021-05-05T00:00:00.000Z","publication_date":"2022-11-01T00:00:00.000Z","cpc_codes":["H04L","G06N","G06N","H04L","H04L","G06N","G06N","H04L"],"num_claims":20,"abstract":"The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration. When a deviation from the steady state network configuration is detected, the machine learning system remediates the problem to return the computer network to the steady state network configuration."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Classification and relationship correlation learning engine for the automated management of complex and distributed networks","description":"The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system recei","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11489732","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-11489732","citation_suggestion":"Patentable. \"Classification and relationship correlation learning engine for the automated management of complex and distributed networks\" (US-11489732). https://patentable.app/patents/US-11489732","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11489732","json":"https://patentable.app/api/llm-context/US-11489732","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T10:34:30.612Z"}