{"id":"W1898301487","doi":"10.1109/mwscas.1993.343273","title":"Multiplierless multilayer feedforward neural networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Feed forward; Sigmoid function; Artificial neural network; Layer (electronics); Feedforward neural network; Activation function; Function (biology); Computation; Algorithm; Arithmetic; Artificial intelligence; Mathematics; Control engineering; 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":[0.0008045522,0.0007916137,0.0004957271,0.0004238767,0.0003337443,0.0007592913,0.001307494,0.001084164,0.004013407],"category_scores_gemma":[0.001711301,0.0004074597,0.0004654395,0.0003812979,0.0003285664,0.0008459887,0.0005664385,0.0007988658,0.001244137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005086006,"about_ca_system_score_gemma":0.0004889687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006971927,"about_ca_topic_score_gemma":0.001389827,"domain_scores_codex":[0.9996902,0.00008190588,0.00002609544,0.00006479115,0.0001120482,0.00002504954],"domain_scores_gemma":[0.999649,0.0001368011,0.00004816086,0.00003958224,0.0001139117,0.00001245778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001696712,0.00005261596,0.0004881931,0.0003789635,0.00009350818,0.0001934146,0.0001104015,0.394279,0.03338451,0.03882726,0.003874359,0.528148],"study_design_scores_gemma":[0.00002035524,0.00008180329,0.0001488715,0.00002753704,0.00001906686,0.00009627151,0.000005106409,0.9789844,0.006883313,0.007468816,0.006252552,0.00001185511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001739352,0.000136855,0.996781,0.00002956617,0.00003558025,0.00003126577,0.00002175149,0.0003044322,0.0009201715],"genre_scores_gemma":[0.1332969,0.0003826199,0.8593024,0.000125992,0.00007205695,0.0003338908,0.0001410376,0.0000728415,0.006272207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004013407,"threshold_uncertainty_score":0.01342624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443370201903195,"score_gpt":0.2264159067898202,"score_spread":0.2019822047707883,"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."}}