{"id":"W2064590796","doi":"10.1155/2013/501461","title":"Lag Synchronization of Coupled Delayed Chaotic Neural Networks by Periodically Intermittent Control","year":2013,"lang":"en","type":"article","venue":"Abstract and Applied Analysis","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Lag; Control theory (sociology); Synchronization (alternating current); Intermittent control; Mathematics; Artificial neural network; Lyapunov stability; Chaotic; Stability (learning theory); Chaotic systems; Synchronization of chaos; Control (management); Time lag; Computer science; Topology (electrical circuits); Control engineering; Artificial intelligence; 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":[0.0001650412,0.0002768755,0.0001586563,0.0001761227,0.0001690819,0.0002730471,0.0003177392,0.0002113726,0.0004245059],"category_scores_gemma":[0.0006080585,0.0001099428,0.0001601909,0.0001856979,0.0003661624,0.0003466706,0.0003188638,0.000175124,0.00003115749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449217,"about_ca_system_score_gemma":0.0002082402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790136,"about_ca_topic_score_gemma":0.0009586937,"domain_scores_codex":[0.9999394,0.00001577456,0.000003303378,0.0000125369,0.00001806454,0.00001077151],"domain_scores_gemma":[0.9998738,0.00004379775,0.00004700722,0.000008160368,0.00001868201,0.0000085456],"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":[0.0001341155,0.00004419067,0.003005045,0.0001211493,0.00005457465,0.0004058637,0.0002287294,0.8870735,0.0404722,0.05157297,0.0004226027,0.01646497],"study_design_scores_gemma":[0.00001207442,0.00004394416,0.000332323,0.000003261854,0.000009196504,0.00001821208,0.00001250444,0.993216,0.001442434,0.004697289,0.0002090015,0.000003778156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5743378,0.0005114953,0.4189885,0.0002581034,0.00006494018,0.00002434976,0.00003697651,0.0001025265,0.005675279],"genre_scores_gemma":[0.9963163,0.0001309543,0.002912622,0.000008044822,0.000009310253,0.00001354639,0.000007720407,0.00000327522,0.0005982497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001790136,"threshold_uncertainty_score":0.00355947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004113854578085109,"score_gpt":0.1919241976644701,"score_spread":0.187810343086385,"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."}}