{"id":"W4293318460","doi":"10.5772/intechopen.105529","title":"Investigations of Using an Intelligent ANFIS Modeling Approach for a Li-Ion Battery in MATLAB Implementation: Case Study","year":2022,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"John Abbott College; Concordia University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Control theory (sociology); MATLAB; State of charge; Computer science; Nonlinear system; Battery (electricity); Control engineering; Autoregressive model; Engineering; Fuzzy logic; Fuzzy control system; Artificial intelligence; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004036469,0.0003856784,0.0005061344,0.0009602435,0.0001247037,0.00005389216,0.0005556856,0.00020595,0.0001703618],"category_scores_gemma":[0.00002217143,0.0004483591,0.00009969041,0.00008133226,0.00009247191,0.0002018736,0.0004864577,0.0008540301,0.000001370191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006921912,"about_ca_system_score_gemma":0.0000904582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004920138,"about_ca_topic_score_gemma":0.0005411583,"domain_scores_codex":[0.9978942,0.00003600452,0.0008785939,0.000509727,0.0003310358,0.0003504439],"domain_scores_gemma":[0.9988754,0.00007576873,0.0001427889,0.0007158836,0.0001205536,0.00006959303],"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":[0.00007232481,0.0002120953,0.0001192351,0.0007978802,0.0004250934,0.0007962781,0.005732014,0.8930183,0.004039056,0.00514994,0.00008583113,0.08955195],"study_design_scores_gemma":[0.001257223,0.0007199119,6.787009e-7,0.0002656677,0.0001410865,0.0006386825,0.03869975,0.9342869,0.006829801,0.01316168,0.002759443,0.001239207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3062403,0.0002028212,0.6348132,0.00002803985,0.0003863341,0.01257974,0.0005651934,0.0009467925,0.04423757],"genre_scores_gemma":[0.9611295,0.00002015853,0.03466101,0.00002864729,0.00006741754,0.001467003,0.00021009,0.0002922445,0.00212397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6548892,"threshold_uncertainty_score":0.9997968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672122999994365,"score_gpt":0.3692926093571436,"score_spread":0.2020803093577072,"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."}}