{"id":"W2139983816","doi":"10.1109/ccece.1997.614852","title":"Evolutionary artificial neural networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Encoding (memory); Artificial neural network; Fitness function; Generalization; Artificial intelligence; Pattern recognition (psychology); Chromosome; Genetic algorithm; Detector; Set (abstract data type); Feature (linguistics); Task (project management); Feature extraction; Machine learning; Mathematics; Engineering; Gene","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":[0.001343724,0.0006260378,0.0006267516,0.0004824593,0.0004918597,0.001054673,0.0009675804,0.001076369,0.002767511],"category_scores_gemma":[0.006129299,0.0002132551,0.0003286917,0.0008259896,0.0005500884,0.0009741024,0.0006098592,0.0009120292,0.0005022933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005795606,"about_ca_system_score_gemma":0.0003761614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001984071,"about_ca_topic_score_gemma":0.002880189,"domain_scores_codex":[0.9994557,0.0001811719,0.00003141392,0.00008958548,0.0001937698,0.00004833807],"domain_scores_gemma":[0.9984388,0.0009258155,0.00009931006,0.0001959768,0.0002928742,0.00004723402],"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":[0.0002284349,0.0003247668,0.00506017,0.0002341888,0.0002054543,0.000238926,0.0001918629,0.6495826,0.005918844,0.03425229,0.003446625,0.3003158],"study_design_scores_gemma":[0.00005194049,0.0001776142,0.001042157,0.00003616161,0.00004898138,0.0001348829,0.00003772756,0.9752172,0.003484401,0.01256485,0.007186409,0.00001765232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3510901,0.002406768,0.5960929,0.001283067,0.0004692381,0.0003159037,0.0003007838,0.001129502,0.04691184],"genre_scores_gemma":[0.7140994,0.0008793268,0.2740573,0.0004068165,0.00004632935,0.000262588,0.0003081759,0.0001032747,0.009836819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002767511,"threshold_uncertainty_score":0.009258211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925698730732719,"score_gpt":0.2260940560804247,"score_spread":0.1968370687730975,"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."}}