{"id":"W2062351959","doi":"10.1007/s00500-012-0918-1","title":"Discrete-time weight updates in neural-adaptive control","year":2012,"lang":"en","type":"article","venue":"Soft Computing","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Artificial neural network; Computer science; Control theory (sociology); Adaptive control; Discrete time and continuous time; Artificial intelligence; Control (management); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003639074,0.0002408749,0.0003831359,0.0001130619,0.00005652316,0.00003001543,0.0001865226,0.00008664428,0.00003274879],"category_scores_gemma":[0.00006953068,0.0002309246,0.00008206105,0.0001814492,0.00003404765,0.0002767886,0.00005314958,0.0002761351,0.000324885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059327,"about_ca_system_score_gemma":0.000008847729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001621161,"about_ca_topic_score_gemma":0.000004648967,"domain_scores_codex":[0.9985557,0.00008870436,0.0003719518,0.0001778335,0.0001639768,0.00064186],"domain_scores_gemma":[0.9991841,0.0003954649,0.00006414313,0.0001894805,0.00003665526,0.0001301644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001967663,0.0002509554,0.3014121,0.0002135237,0.0006930901,0.000114932,0.004757499,0.5904119,0.02028476,0.003047349,0.004727676,0.07388943],"study_design_scores_gemma":[0.0008682614,0.0000219437,0.01724371,0.00005812676,0.00001403241,0.00001087744,0.00006338533,0.9796559,0.0001116541,0.00002570186,0.001646131,0.0002802348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5638337,0.009512499,0.4102227,0.0003105855,0.002791649,0.001093835,0.00004374142,0.001776639,0.01041463],"genre_scores_gemma":[0.9967866,0.000001499996,0.001936083,0.00007738713,0.001066525,0.000006100968,0.000006998388,0.00006072251,0.00005810949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4329529,"threshold_uncertainty_score":0.941683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007451111157336394,"score_gpt":0.2097151166741695,"score_spread":0.2022640055168331,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}