{"id":"W2350851321","doi":"","title":"The Research on the Realization of Back Propagation Network Based on MATLAB","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; MATLAB; Realization (probability); Artificial neural network; Backpropagation; Graphical user interface; Network simulation; Artificial intelligence; Simulation; Machine learning; Distributed computing; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007340379,0.0008333681,0.0005529386,0.0007497143,0.0003847301,0.001106235,0.0008628363,0.000745621,0.005033615],"category_scores_gemma":[0.002231495,0.0004084747,0.0007152928,0.00100045,0.0005426787,0.001995432,0.0004378333,0.001404897,0.001809904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005583663,"about_ca_system_score_gemma":0.001027688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003009312,"about_ca_topic_score_gemma":0.001332145,"domain_scores_codex":[0.9993062,0.0001294113,0.00005637046,0.0001318299,0.0003401352,0.00003604796],"domain_scores_gemma":[0.9994343,0.000178858,0.00003148013,0.0000573442,0.0002776214,0.00002045185],"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":[0.0002067336,0.0001095663,0.00163596,0.001215725,0.0001646446,0.0006028448,0.0003955379,0.09578352,0.03943179,0.1663598,0.01030955,0.6837844],"study_design_scores_gemma":[0.0000893298,0.0002748045,0.001739175,0.0003118029,0.0001817447,0.001617918,0.0001231589,0.7331691,0.07386521,0.05307061,0.1354293,0.0001278759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003183499,0.001474176,0.9820972,0.0002639199,0.0002771645,0.00004324618,0.00005524628,0.001030533,0.01157489],"genre_scores_gemma":[0.2211344,0.009096647,0.7395512,0.0003737781,0.0003741934,0.0003121298,0.0005894824,0.0004027247,0.02816536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005033615,"threshold_uncertainty_score":0.01683909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840854979982305,"score_gpt":0.2540219108717798,"score_spread":0.2356133610719568,"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."}}