{"id":"W2743902441","doi":"10.1109/iemdc.2017.8002202","title":"Design of a simple neural network stabilizer for a synchronous machine of power system via MATLAB/Simulink","year":2017,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"MATLAB; Stabilizer (aeronautics); Artificial neural network; Computer science; Simple (philosophy); Control theory (sociology); Power (physics); Electric power system; Control engineering; Engineering; Artificial intelligence; Physics; Control (management); Operating 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":[0.0002887564,0.0006615997,0.0003523385,0.0002142497,0.0002374201,0.0003672344,0.0005785945,0.0004511975,0.003742772],"category_scores_gemma":[0.000516853,0.0002054558,0.000296223,0.00009906625,0.0002094806,0.00031109,0.0002639571,0.0005166969,0.0009307997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415195,"about_ca_system_score_gemma":0.0004504802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00171646,"about_ca_topic_score_gemma":0.001918404,"domain_scores_codex":[0.9998335,0.00003629603,0.00001207254,0.00004174417,0.00006571854,0.0000107678],"domain_scores_gemma":[0.9998376,0.00004554928,0.000032198,0.00001940556,0.0000588409,0.000006345333],"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":[0.0002368333,0.00008131268,0.0008864643,0.0007791524,0.0001037687,0.0003562253,0.0001692361,0.8142125,0.06240784,0.008350919,0.00186692,0.1105489],"study_design_scores_gemma":[0.00003345074,0.0001185717,0.0002323543,0.00001954522,0.00001986879,0.00007169288,0.000009172961,0.9816169,0.01304143,0.000576844,0.004251675,0.000008709236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01580773,0.0001110522,0.9761695,0.00007171482,0.00006764268,0.0001294046,0.00007724204,0.002465857,0.005099793],"genre_scores_gemma":[0.6737589,0.0002349224,0.3171775,0.00006711903,0.00003058286,0.0006052297,0.0001947894,0.0002020982,0.007728831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003742772,"threshold_uncertainty_score":0.01252085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573448195546003,"score_gpt":0.2364125212954399,"score_spread":0.2206780393399798,"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."}}