{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11487962","patent":{"patent_number":"US-11487962","title":"Decision-making method of comprehensive alumina production indexes based on multi-scale deep convolutional network","assignee":null,"inventors":[],"filing_date":"2019-07-17T00:00:00.000Z","publication_date":"2022-11-01T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N","G06N","G06N","G06N","G06Q","G06Q","G06Q","G06Q","G05B","G06F"],"num_claims":7,"abstract":"The invention provides a decision-making method of comprehensive alumina production indexes based on a multi-scale deep convolutional network. The method mainly consists of several sub-models: a multi-scale deep splicing convolutional neural network prediction sub-model reflecting the influence of bottom-layer production process indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of upper-layer dispatching indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of the comprehensive alumina production indexes at a past time on current comprehensive alumina production indexes, and a multi-scale information neural network integrated model for collaborative optimization of sub-model parameters. According to the method, through an integrated prediction model structure, a memory capacity of a superficial-layer network and a feature extraction capacity of a deep-layer network, a precise decision-making for the comprehensive alumina production indexes is realized."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Decision-making method of comprehensive alumina production indexes based on multi-scale deep convolutional network","description":"The invention provides a decision-making method of comprehensive alumina production indexes based on a multi-scale deep convolutional network. The method mainly consists of several sub-models: a multi","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11487962","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-11487962","citation_suggestion":"Patentable. \"Decision-making method of comprehensive alumina production indexes based on multi-scale deep convolutional network\" (US-11487962). https://patentable.app/patents/US-11487962","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11487962","json":"https://patentable.app/api/llm-context/US-11487962","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:17:02.338Z"}