{"id":"W2106225811","doi":"10.1109/ccece.1999.808074","title":"Adaptive IIR digital filtering using an analog neural network","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Infinite impulse response; 2D Filters; Adaptive filter; Computer science; Digital filter; Convergence (economics); Artificial neural network; Stability (learning theory); Control theory (sociology); Filter (signal processing); Algorithm; Artificial intelligence; Machine learning","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":[0.00006102279,0.0002309804,0.0001872811,0.00006063054,0.0000741928,0.00007776574,0.0001457719,0.00006443473,0.00007281496],"category_scores_gemma":[0.00001722134,0.0002384854,0.00005358564,0.0002000575,0.00003838593,0.00085904,0.00004217751,0.0001695133,0.000008732564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009276386,"about_ca_system_score_gemma":0.000007106057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004664853,"about_ca_topic_score_gemma":0.000005672659,"domain_scores_codex":[0.9990187,0.00001916078,0.0001950339,0.0002279961,0.0001040126,0.0004350741],"domain_scores_gemma":[0.9995264,0.00002782773,0.00002477938,0.0002787638,0.00002913968,0.0001130263],"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":[0.000006546777,0.00001718933,0.000396573,0.000008507845,0.0000276159,0.00002757637,0.00004669975,0.9832068,0.007460983,0.004352444,0.0001775314,0.004271545],"study_design_scores_gemma":[0.0002439433,0.000205476,0.0006661051,0.00006242946,0.00001455103,0.0001083977,0.0001282534,0.9667489,0.01830937,0.007192933,0.005415517,0.0009041107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1714323,0.0000849053,0.8087842,0.000001525199,0.0002297121,0.0001332595,0.000009961137,0.001780354,0.01754382],"genre_scores_gemma":[0.8458487,0.000004309033,0.1538604,0.00002337109,0.000114371,0.000007689171,0.000005330191,0.00006276481,0.00007297519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6744165,"threshold_uncertainty_score":0.9725152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03847745662138431,"score_gpt":0.2495437687567771,"score_spread":0.2110663121353928,"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."}}