PID control based on BP neural network for the regulation of blood glucose level in diabetes

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Volumn , Issue , 2007, Pages 1168-1172

  Li, Chengwei ^a   Hu, Ruiqiang ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b YANSHAN UNIVERSITY   (China)

Author keywords

Back Propagation (BP) neural network; Diabetes; MATLAB; Proportional Integral Derivative(PID)

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BIOINFORMATICS; BLOOD; ELECTRIC CONTROL EQUIPMENT; ELECTRIC NETWORK ANALYSIS; FUNCTIONS; GLUCOSE; HORMONES; INSULIN; MATHEMATICAL MODELS; MATLAB; PROPORTIONAL CONTROL SYSTEMS; SUGAR (SUCROSE); THREE TERM CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS;

BACK PROPAGATION (BP) NEURAL NETWORK; BLOOD GLUCOSE LEVELS; BLOOD SYSTEMS; BP NEURAL NETWORKS; CONTROL PERFORMANCES; DIABETES; DIABETIC PATIENTS; INITIAL STATES; INSULIN DELIVERIES; MATLAB SIMULATIONS; PID CONTROLLERS; PID CONTROLS; PROPORTIONAL INTEGRAL DERIVATIVE(PID); QUALITY OF LIVES; ROBUSTLY STABILIZE; THEORETICAL ANALYSES; VASCULAR COMPLICATIONS;

NEURAL NETWORKS;

EID: 47649129583     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375709     Document Type: Conference Paper

References (8)

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