INTELLIGENT INSULIN INJECTION SYSTEM FOR THE DIABETIC PATIENTS BASED ON NEURAL NETWORK AND FUZZY ALGORITHM

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NAFISI V.R.; HASHEMI GOLPAYEGANI M.R.

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Paper Information

Journal: IRANIAN JOURNAL OF ENDOCRINOLOGY AND METABOLISM (IJEM) Year:2003 | Volume:5 | Issue:3 (SN 19) Page(s): 203-210

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Title

INTELLIGENT INSULIN INJECTION SYSTEM FOR THE DIABETIC PATIENTS BASED ON NEURAL NETWORK AND FUZZY ALGORITHM

Author(s)

NAFISI V.R. | HASHEMI GOLPAYEGANI M.R. | Issue Writer Certificate

Keywords

DIABETESQ3

INTELLIGENT CONTROLQ4

NEURAL NETWORKQ2

FUZZY ALGORITHMQ4

Abstract

Prcision and stable control of blood glucose level is an essential requirement for Diabetic patients. On the other hand, biological systems (e.g. Insulin-glucose interaction) act as a nondeterministic and nonlinear complex model. Therefore, we need to use INTELLIGENT CONTROL. In this paper we use a practical model (instead of the patient) and simulate a neural-fuzzy controller for blood glucose adjustment. NEURAL NETWORK estimates the future of the model then generates the control signal (insulin injection rate). This is a Model Prediction Control (MPC). Fuzzy controller acts as a supervisor system and guarantees the stable and robust control

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APA: Copy

NAFISI, V.R., & HASHEMI GOLPAYEGANI, M.R.. (2003). INTELLIGENT INSULIN INJECTION SYSTEM FOR THE DIABETIC PATIENTS BASED ON NEURAL NETWORK AND FUZZY ALGORITHM. IRANIAN JOURNAL OF ENDOCRINOLOGY AND METABOLISM (IJEM), 5(3 (SN 19)), 203-210. SID. https://sid.ir/paper/27322/en

Vancouver: Copy

NAFISI V.R., HASHEMI GOLPAYEGANI M.R.. INTELLIGENT INSULIN INJECTION SYSTEM FOR THE DIABETIC PATIENTS BASED ON NEURAL NETWORK AND FUZZY ALGORITHM. IRANIAN JOURNAL OF ENDOCRINOLOGY AND METABOLISM (IJEM)[Internet]. 2003;5(3 (SN 19)):203-210. Available from: https://sid.ir/paper/27322/en

IEEE: Copy

V.R. NAFISI, and M.R. HASHEMI GOLPAYEGANI, “INTELLIGENT INSULIN INJECTION SYSTEM FOR THE DIABETIC PATIENTS BASED ON NEURAL NETWORK AND FUZZY ALGORITHM,” IRANIAN JOURNAL OF ENDOCRINOLOGY AND METABOLISM (IJEM), vol. 5, no. 3 (SN 19), pp. 203–210, 2003, [Online]. Available: https://sid.ir/paper/27322/en

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