{"id":"W1995110138","doi":"10.1142/s0219622012500198","title":"A NEW RBF NEURAL NETWORK FOR PREDICTION IN INDUSTRIAL CONTROL","year":2012,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Initialization; Sigmoid function; Computer science; Radial basis function; Artificial neural network; Hierarchical RBF; Activation function; Simple (philosophy); Radial basis function network; Artificial intelligence; Backpropagation; Function (biology); Algorithm; Control theory (sociology); Control (management)","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":[0.0007998038,0.0007154103,0.0009727891,0.000474477,0.0003004316,0.000777075,0.001266014,0.001325941,0.001675597],"category_scores_gemma":[0.001224943,0.0003166035,0.0006097166,0.0006825927,0.0003398183,0.001217604,0.0005684409,0.001136147,0.0009306153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565287,"about_ca_system_score_gemma":0.000505432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994905,"about_ca_topic_score_gemma":0.002097282,"domain_scores_codex":[0.9994344,0.0001281357,0.00003424904,0.0001256881,0.0002377794,0.00003972549],"domain_scores_gemma":[0.9997422,0.00006238952,0.00002344845,0.00002277206,0.0001368311,0.00001233434],"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":[0.0002663858,0.0000999273,0.0007977303,0.000377094,0.0001126726,0.0002797837,0.00009157853,0.4679784,0.03669169,0.0261756,0.005704649,0.4614246],"study_design_scores_gemma":[0.00000766181,0.00002811038,0.0001108876,0.000009774814,0.000009454217,0.00004634374,0.000002435525,0.9939874,0.001840825,0.001154604,0.002791979,0.00001054109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003028673,0.001127162,0.9933599,0.0001092365,0.0001207095,0.00001924276,0.00003594932,0.0004748849,0.001724258],"genre_scores_gemma":[0.3999085,0.00283858,0.5845401,0.0002668544,0.0003753266,0.0002311135,0.0003946928,0.0001551074,0.01128975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002994905,"threshold_uncertainty_score":0.005954921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182612515396682,"score_gpt":0.2934220487833543,"score_spread":0.2751607972436861,"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."}}