{"id":"W2899051854","doi":"10.1115/detc2018-85895","title":"Knowledge-Based Artificial Neural Network (KB-ANN) in Engineering: Associating Functional Architecture Modeling, Dimensional Analysis and Causal Graphs to Produce Optimized Topologies for KB-ANNs","year":2018,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Network topology; Artificial neural network; Computer science; Artificial intelligence; Topology (electrical circuits); Curse of dimensionality; Convergence (economics); Machine learning; Engineering","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":[0.0005979637,0.0005793441,0.0003981017,0.0005079224,0.0002734465,0.0007460123,0.0007450961,0.0007140032,0.001072275],"category_scores_gemma":[0.002310792,0.0003693051,0.0004441612,0.0005149104,0.0004423673,0.00112302,0.0005343041,0.0006886182,0.0002888812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527038,"about_ca_system_score_gemma":0.0003960757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538324,"about_ca_topic_score_gemma":0.002330012,"domain_scores_codex":[0.9997576,0.00008392868,0.00002153706,0.00005401038,0.00006515399,0.00001766428],"domain_scores_gemma":[0.9992493,0.0004739366,0.0000700394,0.00007587249,0.0001186461,0.00001221573],"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":[0.00001936684,0.00002676591,0.0005065128,0.00009646377,0.00002697594,0.00005692481,0.00005447875,0.9102914,0.003698099,0.009449649,0.0002200248,0.07555337],"study_design_scores_gemma":[0.000002177033,0.00002513309,0.0001770339,0.00001850796,0.00001096492,0.00003155536,0.00001441038,0.9891366,0.001839059,0.007937118,0.000801541,0.000006024846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02589837,0.000320404,0.9702388,0.00009855458,0.00002262738,0.00003343527,0.00003748377,0.0002637057,0.003086681],"genre_scores_gemma":[0.5922894,0.0007327473,0.4044506,0.00009159804,0.00002176198,0.0002003744,0.0001824216,0.00008082875,0.001950227],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001538324,"threshold_uncertainty_score":0.003587186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963521863786214,"score_gpt":0.2705385989500297,"score_spread":0.2409033803121676,"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."}}