{"id":"W2956082735","doi":"10.1109/icit.2019.8755098","title":"Design of an Artificial Neural Network Control Based on Levenberg-Marquart Algorithm for Grid-Connected Packed U-Cell Inverter","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Total harmonic distortion; Inverter; Control theory (sociology); Controller (irrigation); Computer science; Artificial neural network; Capacitor; Voltage; Algorithm; MATLAB; Grid; PID controller; Topology (electrical circuits); Engineering; Control engineering; Mathematics; Temperature control; Control (management); Electrical engineering","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":[0.0001847358,0.0002829092,0.0004084402,0.00009218552,0.00003653895,0.00002116788,0.0001876652,0.0001303327,0.0002406559],"category_scores_gemma":[0.00001633279,0.0002717779,0.0001149001,0.0001720383,0.00002840428,0.0001947256,0.000008492448,0.0001474962,0.00006520533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005672426,"about_ca_system_score_gemma":0.00002693242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008929599,"about_ca_topic_score_gemma":0.0000102604,"domain_scores_codex":[0.9985563,0.00007734937,0.000383828,0.0003108328,0.0001834652,0.0004882128],"domain_scores_gemma":[0.9987976,0.0005018314,0.00006680308,0.0004345174,0.00007577531,0.0001234975],"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":[0.0002967496,0.00008241536,0.00006221372,0.00004743984,0.00004527083,0.000003523377,0.00006531383,0.8472388,0.02072455,0.00004546213,0.001545493,0.1298428],"study_design_scores_gemma":[0.002574027,0.0005897493,0.0000842964,0.00001669033,0.00002532947,8.009157e-7,0.00003820467,0.9878517,0.008011538,0.0003235743,0.0001546899,0.0003293852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01924592,0.00001200609,0.977865,0.00004763838,0.001126171,0.001174958,0.0000371187,0.0003297711,0.0001613976],"genre_scores_gemma":[0.9610811,5.71186e-7,0.03766481,0.0006256062,0.0002796933,0.00008056669,0.00006004723,0.00009228193,0.0001152796],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9418352,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119973839280442,"score_gpt":0.2020612704104123,"score_spread":0.1908615320176079,"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."}}