{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11488071","patent":{"patent_number":"US-11488071","title":"Advanced ensemble learning strategy based semi-supervised soft sensing method","assignee":null,"inventors":[],"filing_date":"2020-04-01T00:00:00.000Z","publication_date":"2022-11-01T00:00:00.000Z","cpc_codes":["G06F","G06N","G06F"],"num_claims":5,"abstract":"The present disclosure provides a novel advanced ensemble learning strategy for soft sensor development with semi-supervised model. The main target of the soft sensor is to improve the prediction performance with a limited number of labeled data samples, under the ensemble learning framework. Firstly, in order to improve the prediction accuracy of sub-models for ensemble modeling, a novel sample selection mechanism is established to select the most significantly estimated data samples. Secondly, the Bagging method is employed to both of the labeled and selected data-set, and the two different kinds of datasets are matched based on the Dissimilarity (DISSIM) algorithm. As a result, the proposed method guarantees the diversity and accuracy of the sub-models which are two significant issues of the ensemble learning. In this work, the soft sensor is constructed upon the Gaussian Process Regression (GPR) model."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Advanced ensemble learning strategy based semi-supervised soft sensing method","description":"The present disclosure provides a novel advanced ensemble learning strategy for soft sensor development with semi-supervised model. The main target of the soft sensor is to improve the prediction perf","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11488071","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-11488071","citation_suggestion":"Patentable. \"Advanced ensemble learning strategy based semi-supervised soft sensing method\" (US-11488071). https://patentable.app/patents/US-11488071","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11488071","json":"https://patentable.app/api/llm-context/US-11488071","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:29:36.148Z"}