{"id":"W2072044032","doi":"10.4028/www.scientific.net/amr.594-597.2179","title":"Physical-Rule Based Adaptive Neuro-Fuzzy Inferential Sensor vs. GA-BP Based Prediction Model in Indoor Temperature Predicting","year":2012,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Neuro-fuzzy; Computer science; Mean squared error; Inference system; Fuzzy logic; Predictive modelling; Data mining; Artificial intelligence; Fuzzy control system; Machine learning; Statistics; Mathematics","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":[0.0007606677,0.0004770306,0.0005945083,0.000386841,0.0001936898,0.0006840371,0.0008032848,0.000800482,0.0005908909],"category_scores_gemma":[0.001510874,0.0002375472,0.0004799732,0.0005055011,0.0003337522,0.0009337722,0.0002647245,0.0005394074,0.0001922686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441461,"about_ca_system_score_gemma":0.0003991024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006700546,"about_ca_topic_score_gemma":0.005408016,"domain_scores_codex":[0.9996209,0.00009995215,0.00002957977,0.0000742559,0.0001487833,0.00002645379],"domain_scores_gemma":[0.9996557,0.0001844584,0.00003070688,0.00002604536,0.00009448478,0.000008586539],"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":[0.0002074688,0.000105971,0.002771331,0.0002188822,0.00008298961,0.0001622648,0.00008130803,0.8885343,0.0102477,0.003428871,0.0005607884,0.09359821],"study_design_scores_gemma":[0.000004732722,0.00003168211,0.000452756,0.000005127673,0.00001184279,0.0000193344,0.000007201118,0.9971755,0.001705478,0.0004288043,0.0001512973,0.000006281034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1264317,0.002125935,0.8644503,0.0003518432,0.0001502429,0.00007411534,0.00008448988,0.0007333684,0.005598085],"genre_scores_gemma":[0.9563264,0.0006785751,0.04107748,0.00004965411,0.00003190511,0.00005350208,0.00005526637,0.00001576029,0.00171153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006700546,"threshold_uncertainty_score":0.01332307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467000107821595,"score_gpt":0.2864970794058752,"score_spread":0.2618270783276593,"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."}}