{"id":"W4416677060","doi":"10.1109/dsaa65442.2025.11248032","title":"A Comparative Study of Non-Linear Modelling Capabilities of T-S Fuzzy Models and Back-Propagation Neural Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research","funders":"","keywords":"Adaptability; Robustness (evolution); Fuzzy logic; Artificial neural network; Generalization; Nonlinear system; Adaptive neuro fuzzy inference system; Flexibility (engineering); Neuro-fuzzy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006731537,0.0003597411,0.00121006,0.000197609,0.0001689572,0.00009568891,0.0006157252,0.0001478175,0.000004573018],"category_scores_gemma":[0.000008413248,0.0003019595,0.0001242737,0.0007124152,0.0002912111,0.0006787519,0.0004076679,0.0002439226,0.000001419378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000389886,"about_ca_system_score_gemma":0.0001297046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099679,"about_ca_topic_score_gemma":0.0001120369,"domain_scores_codex":[0.9966716,0.0004315781,0.00136528,0.0007313332,0.0004222283,0.0003780286],"domain_scores_gemma":[0.9977192,0.0003697351,0.00047042,0.0006940237,0.0006562615,0.00009040876],"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":[0.0001454324,0.0005139125,0.0005412158,0.0002123913,0.0001592372,9.870499e-7,0.01593314,0.9564423,0.00004256171,0.02456737,0.00002541646,0.001416024],"study_design_scores_gemma":[0.001842614,0.001103755,0.0001744883,0.0001586818,0.00007651366,0.000001425948,0.01179732,0.9769427,0.00005998358,0.007620708,6.623113e-7,0.0002211051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3731149,0.0009265953,0.612914,0.00005862177,0.0003241908,0.001199391,0.000002567548,0.00001572376,0.01144397],"genre_scores_gemma":[0.9964933,0.00004305705,0.002594257,0.00003917447,0.00005683459,0.00003997605,0.000001194456,0.000007187292,0.0007249648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6233785,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04657770397130952,"score_gpt":0.2735811002760212,"score_spread":0.2270033963047117,"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."}}