{"id":"W2028890909","doi":"10.4028/www.scientific.net/amm.548-549.985","title":"Two Types of Neural Network Prediction Models and Time Complexity","year":2014,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Artificial neural network; Probabilistic neural network; Time delay neural network; Acceleration; Computer science; Algorithm; Stochastic neural network; SIGNAL (programming language); Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001844264,0.00006985894,0.0001367091,0.00001704862,0.00007232447,0.00003720527,0.0001132088,0.00002650992,0.000003181608],"category_scores_gemma":[0.000001706073,0.00006472522,0.000008142062,0.0000586367,0.00001505568,0.00008429965,0.0001540678,0.00002178337,0.000001377035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000331359,"about_ca_system_score_gemma":0.000004560201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004525531,"about_ca_topic_score_gemma":2.670722e-7,"domain_scores_codex":[0.9994922,0.00001488948,0.0001522376,0.0001787827,0.00006815806,0.00009369737],"domain_scores_gemma":[0.9996738,0.00003239585,0.00008387314,0.0001472493,0.00002842882,0.00003420996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003531034,0.000006010849,1.012121e-7,0.000006791694,0.000002763697,2.792368e-8,0.0000143033,0.00161673,0.02123066,0.9736898,0.00003513159,0.003394155],"study_design_scores_gemma":[0.00008891614,0.00002379855,0.000009609031,0.000003716639,0.000003331442,0.000002284511,7.009393e-7,0.2942909,0.004707863,0.7006619,0.0001639846,0.00004296671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009042106,0.0000167746,0.9899914,0.00009371836,0.0000449347,0.0001657894,0.00001227994,0.00008745191,0.0005455864],"genre_scores_gemma":[0.7118433,0.00001900981,0.2879401,0.0001091926,0.0000450439,0.00002437481,0.000008967866,0.000004362154,0.000005639468],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7028012,"threshold_uncertainty_score":0.2639418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311549542419201,"score_gpt":0.2511366789167825,"score_spread":0.2280211834925905,"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."}}