{"id":"W2120593887","doi":"10.1109/nafips.2006.365849","title":"Validation of Hybrid MinMax FuzzyNeuro Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Fuzzy inference system; Computer science; Generalization; Minimax; Hybrid system; Perspective (graphical); Inference; Value (mathematics); Fuzzy logic; Artificial intelligence; Fuzzy control system; Machine learning; Mathematical optimization; Mathematics; Adaptive neuro fuzzy inference system","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":[0.009799193,0.0006176588,0.0007617449,0.0006747828,0.0005591502,0.001531195,0.001474235,0.001174905,0.002205],"category_scores_gemma":[0.03265156,0.0003100673,0.0008198692,0.0002888393,0.001589615,0.001715794,0.001607493,0.0009073928,0.0002089371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821145,"about_ca_system_score_gemma":0.001183167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004101738,"about_ca_topic_score_gemma":0.002932479,"domain_scores_codex":[0.9959589,0.001721803,0.0002598025,0.000886796,0.0009162545,0.0002564845],"domain_scores_gemma":[0.9794224,0.01486084,0.001415504,0.001875919,0.002231401,0.0001937923],"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":[0.001429947,0.0001257605,0.01275945,0.0004339505,0.000270912,0.0004281542,0.0008446188,0.7881925,0.01837192,0.07380312,0.0007601214,0.1025796],"study_design_scores_gemma":[0.00001632738,0.0001385802,0.0007823323,0.00003530331,0.00001284278,0.00005254858,0.00003895461,0.9774229,0.005483967,0.01560256,0.000397655,0.00001610298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.315657,0.0003799579,0.677886,0.0003698687,0.00005902502,0.0001150692,0.0002426973,0.0009055008,0.004384846],"genre_scores_gemma":[0.9625867,0.00004802312,0.03632695,0.00006362424,0.000006785607,0.00004952155,0.0001279276,0.0000272236,0.0007631811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009799193,"threshold_uncertainty_score":0.05182374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00823871531520738,"score_gpt":0.1881089010199109,"score_spread":0.1798701857047036,"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."}}