{"id":"W2157677239","doi":"10.1155/2014/560861","title":"Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays","year":2014,"lang":"en","type":"article","venue":"Abstract and Applied Analysis","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China; Chongqing Postdoctoral Science Foundation","keywords":"Bidirectional associative memory; Artificial neural network; Content-addressable memory; Type (biology); Stability (learning theory); Mathematics; Class (philosophy); Exponential stability; Associative property; Control theory (sociology); Derivative (finance); Computer science; Artificial intelligence; Nonlinear system; Pure mathematics; Machine learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005487718,0.000505955,0.0003498326,0.0002805248,0.0002360552,0.000554654,0.0005841447,0.0004643429,0.001047354],"category_scores_gemma":[0.000799728,0.0001312172,0.0003217238,0.0002158432,0.0005641381,0.0004430562,0.0006755399,0.0002964677,0.0001036409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974792,"about_ca_system_score_gemma":0.0003802163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003275085,"about_ca_topic_score_gemma":0.001573236,"domain_scores_codex":[0.9998772,0.0000290387,0.000007524954,0.00003196293,0.0000347285,0.00001960439],"domain_scores_gemma":[0.999727,0.00009934104,0.00007066579,0.00001435344,0.000079049,0.000009668301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001095867,0.0000159563,0.0007350022,0.0000816768,0.00004997385,0.0001478791,0.00008194855,0.9553988,0.009990878,0.02109275,0.00018162,0.01211391],"study_design_scores_gemma":[0.000003251255,0.00002183126,0.0001053725,0.000003522606,0.000007376856,0.00001172479,0.00001243759,0.9962881,0.0008035619,0.002651101,0.00008816097,0.000003582337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2476158,0.0006848247,0.7400644,0.0001988659,0.00004179621,0.00003462124,0.00006128343,0.0001462765,0.01115205],"genre_scores_gemma":[0.995138,0.0001527371,0.003247365,0.00001393561,0.000005807264,0.00002795316,0.00001571734,0.000005621116,0.001392893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003275085,"threshold_uncertainty_score":0.006512046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448851534736431,"score_gpt":0.2077209540239728,"score_spread":0.1932324386766085,"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."}}