在闭环系统评估基于递归神经网络(RNN)和模糊逻辑控制器(FLC)调整血糖1型糖尿病患者(IJISA-V4-N10-7).pdfVIP

I.J. Intelligent Systems and Applications, 2012, 10, 58-71 Published Online September 2012 in MECS (/) DOI: 10.5815/ijisa.2012. 10.07 Evaluation of Using a Recurrent Neural Network (RNN) and a Fuzzy Logic Controller (FLC) In Closed Loop System to Regulate Blood Glucose for Type-1 Diabetic Patients Fayrouz Allam Tabbin Institute for Metallurgical Studies, Helwan, Egypt Zaki Nossair, Hesham Gomma, Ibrahim Ibrahim Faculty of Engineering, Helwan Univ., Egypt Mona Abdelsalam Faculty of Medicine, Ain Shams Univ., Egypt Abstract— Type-1 diabetes is a disease characterized infusion, combined with infrequent blood glucose by high blood-glucose level. Using a fully automated measurements, to regulate their blood glucose closed loop control system improves the quality of life concentration and reduce the risks of hypo- and for type1 diabetic patients. In this paper, a scalable hyperglycemia. In essence, these individuals are serving closed loop blood glucose regulation system which is as feedback controllers by themselves with substantial tuned to each patient is presented. This control system measurement delays and uncertainties [1]. The self- doesnt need any data entry from the patient. A recurrent monitoring requires a considerable effort and is a neural network (RNN) is used as a nonlinear predictor constant reminder of their disease. The closed