Другие журналы
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Moor
Neuro-fuzzy prediction of the glucose level of patients with insulin-dependent diabetes
Engineering Education # 11, November 2010 Optimal doses of artificial insulin (further – insulin) depend on a variety of factors. Adjustment of insulin dosages is a sophisticated task and can be far too complex for most patients. In order to simplify the solution to the problem the Continuous Glucose Monitoring System (CGMS) and continuous subcutaneous insulin infusion systems (insulin pumps) were developed.Blood glucose level (BG) control systems based on CGMS and insulin pumps are being actively developed. Algorithmically, these systems consist of two subsystems: the BG forecasting subsystem and the optimal dose determination subsystem. In the long run this research aims to synthesize the former of the two subsystemsThe problem of BG prediction of patients with insulin-dependent diabetes is considered in this paper. An approach to solving this problem by using adaptive neuro-fuzzy inference system ANFIS is proposed. The results of research of efficiency of the method are presented. It was shown that ANFIS provides us with high quality of prediction when used on relatively short periods of time.
Multicriteria optimization based on neuro-fuzzy approximation of decision maker▓s utility function
Engineering Education # 06, June 2010 DOI: 10.7463/0610.0143964 A direct adaptive method of multicriteria optimization based on neuro-fuzzy approximation of decision maker’s function is considered in this paper. Some results of the investigation of the efficiency of the method for solving two- and three- criteria test problems are presented.
Analysis of the effectiveness of different scalar convolutions in multiobjective optimization problem
Engineering Education # 04, April 2010 A study of application of different optimality criteria convolutions in problems of multiobjective optimization. The article shows some results of comparative analysis of the convolutions effectiveness for solving multiobjective optimization test problems.
Multi-criteria optimization based on fuzzy approximation of the preferences function of a decision maker
Engineering Education # 01, January 2010 DOI: 10.7463/0110.0135375 The paper considers the direct adaptive method for multi-criteria optimization based on fuzzy approximation of decision maker’s utility function. We provide some results of method effectiveness research for solving two- and three-criteria test problems.
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