{"id":"W2137599484","doi":"10.1109/icnn.1997.616113","title":"Modeling of neural networks in feedback systems using describing functions","year":2002,"lang":"en","type":"article","venue":"Proceedings of International Conference on Neural Networks (ICNN'97)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial neural network; Computer science; Simple (philosophy); Control theory (sociology); Stochastic neural network; Extension (predicate logic); Transient (computer programming); Control engineering; Time delay neural network; Artificial intelligence; Control (management); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008618909,0.000824124,0.0005316212,0.0004429872,0.0003514691,0.001010631,0.001239638,0.001459949,0.001143888],"category_scores_gemma":[0.001811593,0.0003847374,0.0007142999,0.0003631707,0.000737019,0.001686754,0.0005678951,0.001036002,0.0004308055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751848,"about_ca_system_score_gemma":0.0006363728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002564006,"about_ca_topic_score_gemma":0.00122716,"domain_scores_codex":[0.9996094,0.0001536244,0.00002546932,0.00005478974,0.0001261823,0.00003050317],"domain_scores_gemma":[0.9995809,0.0002218911,0.00006720013,0.00003879717,0.00007842686,0.000012783],"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":[0.00001723369,0.00001687646,0.0001858289,0.00006087221,0.00001569077,0.000101044,0.0000928301,0.8722746,0.005122932,0.1131503,0.0002561093,0.008705745],"study_design_scores_gemma":[0.000002958137,0.00001029208,0.00002368558,0.000006989597,0.000004185294,0.00001905508,0.000008425823,0.9832453,0.0009651469,0.01458195,0.001126744,0.000005266313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004762351,0.0001392724,0.9928902,0.00007021052,0.00002175132,0.0000293822,0.00002511708,0.0001536902,0.001908002],"genre_scores_gemma":[0.6537006,0.001892015,0.333389,0.0001904571,0.00007584462,0.0006519774,0.0002450561,0.0001360243,0.009719103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002564006,"threshold_uncertainty_score":0.005624413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203130324886533,"score_gpt":0.2674095212788595,"score_spread":0.1470964887902062,"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."}}