{"id":"W4385076203","doi":"10.1016/j.fss.2023.108656","title":"Design of progressive fuzzy polynomial neural networks through gated recurrent unit structure and correlation/probabilistic selection strategies","year":2023,"lang":"en","type":"article","venue":"Fuzzy Sets and Systems","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Ministry of Science, ICT and Future Planning; National Research Foundation of Korea; Ministry of Education","keywords":"Overfitting; Probabilistic logic; Computer science; Artificial intelligence; Fuzzy logic; Artificial neural network; Machine learning; Polynomial; Polynomial regression; Mathematical optimization; Mathematics; Regression analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006347455,0.0005864657,0.000698104,0.0002789925,0.000386316,0.0005942745,0.001385133,0.0008666174,0.001446309],"category_scores_gemma":[0.001238717,0.0003853947,0.000445577,0.0003297523,0.0004886975,0.0006992306,0.0007536372,0.0006727272,0.0003429799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006699848,"about_ca_system_score_gemma":0.000869013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00255557,"about_ca_topic_score_gemma":0.004814055,"domain_scores_codex":[0.9997836,0.00004540339,0.00001196714,0.0000654613,0.00005378008,0.00003988147],"domain_scores_gemma":[0.9996772,0.0001033537,0.00005858611,0.00002287492,0.0001111729,0.00002680964],"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":[0.0001166433,0.00006754714,0.0003107648,0.0001158192,0.00003853094,0.00009206345,0.00007417412,0.8524228,0.01622099,0.0244127,0.0007571358,0.1053707],"study_design_scores_gemma":[0.000006034662,0.00003499985,0.00003856925,0.000003638473,0.000006583374,0.00001170211,0.000002788926,0.9970065,0.001251216,0.001438427,0.0001957263,0.000003851134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01739389,0.000135513,0.98047,0.00005060415,0.00002004859,0.00004418835,0.00001656017,0.0001418377,0.001727343],"genre_scores_gemma":[0.8118353,0.000202685,0.1853193,0.00006413649,0.00002648145,0.0001595847,0.00004636845,0.00004012013,0.002305865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00255557,"threshold_uncertainty_score":0.005081356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444713472503099,"score_gpt":0.2742526431602098,"score_spread":0.2398055084351788,"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."}}