{"id":"W2103737551","doi":"10.1109/ccece.2004.1347583","title":"Representing generalized fuzzy automata in recurrent neural networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automaton; Embedding; Representation (politics); Computer science; Fuzzy logic; Theoretical computer science; Artificial neural network; Algorithm; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004780803,0.0004507451,0.0005526419,0.0002981497,0.0002079981,0.0006836421,0.0007785496,0.0007113039,0.001493989],"category_scores_gemma":[0.001669114,0.0002094721,0.0005264023,0.0003500453,0.0005896408,0.001390493,0.0005448664,0.0005945615,0.0003318065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004155336,"about_ca_system_score_gemma":0.0003006055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579353,"about_ca_topic_score_gemma":0.003344296,"domain_scores_codex":[0.9996257,0.0001366888,0.00002586571,0.00008879143,0.00008072471,0.0000423386],"domain_scores_gemma":[0.9995851,0.0001699907,0.00004678415,0.00008545207,0.0000971188,0.00001553049],"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":[0.000150351,0.00003326456,0.000795708,0.0001472618,0.00007497334,0.000312075,0.000346147,0.730193,0.02230425,0.1339499,0.00120497,0.1104882],"study_design_scores_gemma":[0.000005052442,0.0000194562,0.00007183396,0.000005676341,0.000009181979,0.00003469773,0.00001428701,0.972701,0.002276104,0.02355651,0.001298357,0.00000790104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05880523,0.0003182931,0.9372147,0.00008178538,0.00007463558,0.00002021467,0.0000804162,0.0009199211,0.002484673],"genre_scores_gemma":[0.7533882,0.000318036,0.2418632,0.00006648018,0.00003629054,0.00008547963,0.0001955523,0.00008511268,0.00396168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002579353,"threshold_uncertainty_score":0.005128622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840995499505993,"score_gpt":0.2435471797078992,"score_spread":0.2251372247128393,"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."}}