{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11270199","patent":{"patent_number":"US-11270199","title":"Analogue electronic neural network","assignee":null,"inventors":[],"filing_date":"2017-02-17T00:00:00.000Z","publication_date":"2022-03-08T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N"],"num_claims":14,"abstract":"The present invention concerns a method of programming an analogue electronic neural network comprising a plurality of layers of somas. Any two consecutive layers of somas are connected by a matrix of synapses. The method comprises: applying test signals to inputs of the neural network; measuring at a plurality of measurement locations in the neural network responses of at least some somas and synapses to the test signals; extracting from the neural network, based on the responses, a first parameter set characterising the behaviour of the at least some somas; carrying out a training of the neural network by applying to a training algorithm the first parameter set and training data for obtaining a second parameter set; and programming the neural network by using the second parameter set. The invention also relates to the neural network and to a method of operating it."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Analogue electronic neural network","description":"The present invention concerns a method of programming an analogue electronic neural network comprising a plurality of layers of somas. Any two consecutive layers of somas are connected by a matrix of","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11270199","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-11270199","citation_suggestion":"Patentable. \"Analogue electronic neural network\" (US-11270199). https://patentable.app/patents/US-11270199","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11270199","json":"https://patentable.app/api/llm-context/US-11270199","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:07:29.717Z"}