{"id":"W2158853651","doi":"10.14864/softscis.2008.0.76.0","title":"Optimizing Artificial Neural Networks through Layer Partition and Genetic Algorithms","year":2008,"lang":"en","type":"article","venue":"SCIS & ISIS SCIS & ISIS 2008","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Artificial neural network; Computer science; Genetic algorithm; Algorithm; Partition (number theory); Layer (electronics); Artificial intelligence; Machine learning; Mathematics; Combinatorics; Chemistry","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":[0.001908295,0.001644425,0.001787893,0.001110142,0.0007663446,0.001377475,0.001963357,0.002645879,0.003189603],"category_scores_gemma":[0.006142343,0.001418522,0.001050019,0.001070822,0.001030213,0.002071957,0.001313919,0.002055615,0.0004573952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752626,"about_ca_system_score_gemma":0.001577026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009348504,"about_ca_topic_score_gemma":0.01041443,"domain_scores_codex":[0.9995363,0.0002178329,0.00002577476,0.00008201535,0.00007789965,0.00006024465],"domain_scores_gemma":[0.9981613,0.001324185,0.0001259618,0.000094442,0.0002451836,0.00004882403],"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":[0.00005119817,0.00002552526,0.0001477031,0.0000204394,0.00002853012,0.00001488378,0.00001808781,0.9823805,0.0003309497,0.001448174,0.0003707171,0.01516334],"study_design_scores_gemma":[0.00001078673,0.00001187703,0.00002556731,0.000004157524,0.000008752721,0.000002398481,0.000003866305,0.9986142,0.0001744987,0.00108078,0.000061141,0.000001963338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09133255,0.001031089,0.8984439,0.0004148352,0.0001761021,0.0001230576,0.00009914202,0.001269209,0.007110064],"genre_scores_gemma":[0.6101283,0.0003293221,0.3840113,0.0002373553,0.00007644516,0.0003871345,0.0002359755,0.0003604035,0.004233623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009348504,"threshold_uncertainty_score":0.01858819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427782806600344,"score_gpt":0.2644916838100463,"score_spread":0.2217134031500119,"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."}}