{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9646244","patent":{"patent_number":"US-9646244","title":"Predicting likelihoods of conditions being satisfied using recurrent neural networks","assignee":null,"inventors":[],"filing_date":"2016-05-09T00:00:00.000Z","publication_date":"2017-05-09T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G16H","G06N","G06N"],"num_claims":20,"abstract":"Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting likelihoods of conditions being satisfied using recurrent neural networks. One of the systems is configured to process a temporal sequence comprising a respective input at each of a plurality of time steps and comprises: one or more recurrent neural network layers; one or more logistic regression nodes, wherein each of the logistic regression nodes corresponds to a respective condition from a predetermined set of conditions, and wherein each of the logistic regression nodes is configured to, for each of the plurality of time steps: receive the network internal state for the time step; and process the network internal state for the time step in accordance with current values of a set of parameters of the logistic regression node to generate a future condition score for the corresponding condition for the time step."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predicting likelihoods of conditions being satisfied using recurrent neural networks","description":"Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting likelihoods of conditions being satisfied using recurrent neural networks. One of the sys","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9646244","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-9646244","citation_suggestion":"Patentable. \"Predicting likelihoods of conditions being satisfied using recurrent neural networks\" (US-9646244). https://patentable.app/patents/US-9646244","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9646244","json":"https://patentable.app/api/llm-context/US-9646244","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T06:57:28.305Z"}