{"id":"W2011851524","doi":"10.1016/j.neunet.2011.09.002","title":"A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip","year":2011,"lang":"en","type":"article","venue":"Neural Networks","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Application-specific integrated circuit; Block (permutation group theory); Self-organizing map; Function (biology); Chip; Topology (electrical circuits); Field-programmable gate array; Artificial neural network; Algorithm; Artificial intelligence; Embedded system; Mathematics; Electrical engineering; Telecommunications; 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":[0.0001091144,0.0001339158,0.0002082017,0.0001506141,0.0003008873,0.0003989807,0.0008861552,0.0003108493,0.002439113],"category_scores_gemma":[0.0002925957,0.00007569983,0.0001587367,0.0001830705,0.0001627235,0.0003902534,0.0002680046,0.0002235189,0.0004384044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003051888,"about_ca_system_score_gemma":0.0003799073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913275,"about_ca_topic_score_gemma":0.003647014,"domain_scores_codex":[0.9999341,0.000009277146,0.000004079378,0.00001332697,0.00002894678,0.00001031199],"domain_scores_gemma":[0.9999189,0.0000123138,0.00000456106,0.00001512464,0.00003961737,0.000009531755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005634033,0.0002275766,0.001129046,0.0003191019,0.00007213433,0.0003243875,0.0001917997,0.1703432,0.2268931,0.06608084,0.00813971,0.5257157],"study_design_scores_gemma":[0.00002172406,0.0001817376,0.0003474669,0.00001219839,0.00002114787,0.0001273842,0.00003129971,0.954954,0.03138263,0.005411346,0.007491098,0.00001803043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08002546,0.0004420654,0.9055336,0.0001797747,0.0002266183,0.00007447251,0.000103251,0.001024557,0.01239018],"genre_scores_gemma":[0.7687185,0.0001389743,0.2250427,0.0001042672,0.00002018395,0.00007239328,0.000104423,0.00006139193,0.005737314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002439113,"threshold_uncertainty_score":0.008159637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656221677926991,"score_gpt":0.2222518671901695,"score_spread":0.1956896504108996,"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."}}