{"id":"W4366986778","doi":"10.3390/fractalfract7050349","title":"A Model-Free Finite-Time Control Technique for Synchronization of Variable-Order Fractional Hopfield-like Neural Network","year":2023,"lang":"en","type":"article","venue":"Fractal and Fractional","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Professional Engineers Ontario","funders":"","keywords":"Control theory (sociology); Synchronizing; Artificial neural network; Hopfield network; Computer science; Robustness (evolution); Controller (irrigation); Convergence (economics); Synchronization (alternating current); Variable (mathematics); Mathematics; Control (management); Artificial intelligence","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":[0.0002150786,0.0002737274,0.0002055695,0.0001753408,0.0002494869,0.0002138405,0.0004226344,0.0002656671,0.0005883095],"category_scores_gemma":[0.0004225387,0.00009047637,0.0002695323,0.0001591254,0.0003453245,0.0003674632,0.0002979826,0.0003629961,0.0000536886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286043,"about_ca_system_score_gemma":0.0002946997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662536,"about_ca_topic_score_gemma":0.001616063,"domain_scores_codex":[0.9999285,0.0000121682,0.000004991718,0.00001992736,0.00002765139,0.000006781197],"domain_scores_gemma":[0.9999217,0.00002226951,0.00002285069,0.00001158065,0.0000169575,0.000004659991],"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":[0.0001472721,0.00004519895,0.000710635,0.0002816488,0.00005535959,0.0002525729,0.000322047,0.5788704,0.1529873,0.05634433,0.0007078176,0.2092753],"study_design_scores_gemma":[0.000007115815,0.00006297199,0.0001469713,0.000009021281,0.00001065473,0.00006536745,0.000007305572,0.988437,0.00752921,0.002466406,0.001249649,0.000008247251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02026674,0.0002369057,0.9774384,0.00004963384,0.00003601518,0.00001592877,0.000007826716,0.00011995,0.001828635],"genre_scores_gemma":[0.9065714,0.0002583734,0.09177217,0.00002897316,0.00001839241,0.00003805037,0.00001699276,0.00001300028,0.001282744],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001662536,"threshold_uncertainty_score":0.003305733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292928824614304,"score_gpt":0.2265780874557602,"score_spread":0.2136487992096172,"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."}}