{"id":"W2037907710","doi":"10.1109/icit.2006.372384","title":"Development of a Simplified Neuro-Fuzzy Controller for an IM Drive","year":2006,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Artificial neural network; Fuzzy logic; Controller (irrigation); MATLAB; Electronic speed control; Field (mathematics); Control theory (sociology); Computation; Induction motor; Control engineering; Fuzzy control system; Scheme (mathematics); Control system; Control (management); Artificial intelligence; Algorithm; Engineering; Voltage","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":[],"consensus_categories":[],"category_scores_codex":[0.00008054666,0.000141158,0.0002528004,0.00009865749,0.00003478318,0.0000130488,0.0001109787,0.00005704801,0.00001826859],"category_scores_gemma":[0.00002515871,0.0001302214,0.00006055829,0.00009505812,0.00001195064,0.00006052832,0.000006271173,0.00004878224,0.00000692016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003804652,"about_ca_system_score_gemma":0.0000221625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002560336,"about_ca_topic_score_gemma":0.00009738257,"domain_scores_codex":[0.9991208,0.000008377447,0.0003439208,0.0001456634,0.0001149739,0.0002662246],"domain_scores_gemma":[0.999563,0.0001492651,0.00003807396,0.0001337258,0.00006441439,0.00005153926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001894286,0.000158248,0.0004147895,0.00008578307,0.0002135251,0.000002914489,0.0003346757,0.04206107,0.8744012,0.01847384,0.008815897,0.05484863],"study_design_scores_gemma":[0.01211923,0.0003232656,0.02193411,0.00002086989,0.0000977375,0.000006915103,0.0001453513,0.648212,0.2683419,0.003573565,0.04413912,0.001085956],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8067763,0.00008593464,0.1713694,0.00003937726,0.0001824235,0.0009611268,0.000006882209,0.0004303979,0.02014813],"genre_scores_gemma":[0.9757132,7.832618e-7,0.02380548,0.00006293756,0.00008332659,0.00006922235,0.000008920751,0.00003543856,0.0002206852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6061509,"threshold_uncertainty_score":0.5310276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246046054098364,"score_gpt":0.2166423148233877,"score_spread":0.2041818542824041,"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."}}