{"id":"W2765165617","doi":"10.1109/lsp.2017.2765895","title":"State Identification of Duffing Oscillator Based on Extreme Learning Machine","year":2017,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Duffing equation; Lyapunov exponent; Extreme learning machine; Chaotic; Convergence (economics); Control theory (sociology); Computer science; Rate of convergence; Algorithm; Computation; Feature (linguistics); Mathematics; Artificial intelligence; Nonlinear system; Key (lock); Artificial neural network; Physics","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":[0.0003860785,0.0003040722,0.0004274354,0.000448322,0.0002431081,0.0004137499,0.0004842909,0.0004149988,0.0006053044],"category_scores_gemma":[0.001198193,0.0001358393,0.00032745,0.0003258789,0.0003511824,0.0006026516,0.0004209681,0.0004132306,0.0001047433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249104,"about_ca_system_score_gemma":0.0002125203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009186057,"about_ca_topic_score_gemma":0.0006279674,"domain_scores_codex":[0.9998124,0.000046012,0.00001499982,0.00005558788,0.00005241252,0.00001848176],"domain_scores_gemma":[0.9997151,0.0001315269,0.00005428259,0.00002715102,0.00005983689,0.00001212514],"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":[0.0002325153,0.00009969118,0.01061015,0.0001982029,0.00009685363,0.000439314,0.0003741753,0.6435529,0.0540667,0.02799415,0.001137413,0.2611979],"study_design_scores_gemma":[0.000002052448,0.00001434056,0.0003822852,0.000002284467,0.00000231387,0.00002515641,0.000004755792,0.9967515,0.001373505,0.001309032,0.0001264077,0.000006342977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08857378,0.0001368324,0.9094624,0.00008983405,0.00002249502,0.00002803659,0.0000234402,0.0002021008,0.001461157],"genre_scores_gemma":[0.929321,0.00008864327,0.06931666,0.00003107096,0.00001359726,0.00006086543,0.00005512311,0.00001485067,0.001098188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009186057,"threshold_uncertainty_score":0.002041757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119677464165668,"score_gpt":0.2570205606150157,"score_spread":0.235823785973359,"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."}}