{"id":"W2082105733","doi":"10.1142/s0129065707001020","title":"A RADIAL BASIS FUNCTION NETWORK APPROACH FOR THE COMPUTATION OF INVERSE CONTINUOUS TIME VARIANT FUNCTIONS","year":2007,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Gravitational singularity; Computation; Inverse; Basis (linear algebra); Radial basis function; Inverse function; Basis function; Function (biology); Applied mathematics; Mathematics; Computer science; Algorithm; Mathematical optimization; Mathematical analysis; Artificial intelligence; Artificial neural network","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":[0.0006445419,0.0006904685,0.0005529834,0.0004728116,0.0003114708,0.0006351155,0.0009308592,0.0007501456,0.002020965],"category_scores_gemma":[0.001643895,0.0002715051,0.0004537206,0.0004318105,0.0004220956,0.0009973937,0.0005354127,0.001155068,0.001007354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000348379,"about_ca_system_score_gemma":0.0005771652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718701,"about_ca_topic_score_gemma":0.001824015,"domain_scores_codex":[0.9997314,0.00005630426,0.00001526787,0.00004429237,0.0001354549,0.00001732583],"domain_scores_gemma":[0.9997236,0.00009742281,0.00001948921,0.0000417759,0.0001056461,0.00001205804],"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":[0.0001276892,0.00007371396,0.0004949418,0.0002231957,0.00006012675,0.0001819194,0.0001029479,0.4733571,0.0412048,0.1013609,0.002659781,0.3801528],"study_design_scores_gemma":[0.000005872756,0.00002455228,0.00007160706,0.000008696147,0.000007022456,0.0000580683,0.000005169726,0.9864705,0.004067251,0.006114144,0.00315587,0.00001127188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008434019,0.00005762012,0.9984581,0.00002237717,0.00001258791,0.000007314958,0.000005195365,0.00009274259,0.0005005636],"genre_scores_gemma":[0.07370609,0.0003942901,0.92296,0.00005230786,0.00005453087,0.00007499461,0.00006362161,0.00009545108,0.002598828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002020965,"threshold_uncertainty_score":0.006760776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167333265811059,"score_gpt":0.2248679257089129,"score_spread":0.2131945930508023,"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."}}