Stochastic neural networks applied to dynamic glucose model for diabetic patients

2004 1st International Conference on Electrical and Electronics Engineering, ICEEE

Volumn , Issue , 2004, Pages 522-525

  Fonseca, Humberto M ^a   Ortiz, Víctor H ^a   I cabrera, Agustín ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC REVOLUTIONS; GLUCOSE CONCENTRATION; INSULIN-GLUCOSE INTERACTION; STOCHASTIC MODELS;

CONTROL SYSTEM ANALYSIS; INSULIN; NEURAL NETWORKS; ONLINE SYSTEMS; PERTURBATION TECHNIQUES; STOCHASTIC CONTROL SYSTEMS;

PATIENT TREATMENT;

EID: 24644447704     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. A Poznyak, Differential Neural Networks for Robust Non Lineal Control; Springer Verlag; 2001
2. G. Montgomerie and H. Nicholson, Biological Systems Modeling and Control. Peter Peregrinus Ltd; 1979
3. M. Khoo, Physiological Control Systems: Analysis, Simulation, and Estimation. Metin Akay; 2000
4. D. Murano and A. Poznyak, "Robust High-Gain DNN Observer for Nonlinear Stochastic Continuos Time Systems"
5. R. N. Bergman, Pathogenesis and prediction of diabetes mellitus: lessons from integrative physiology. Mt Sinai J Med. 2002 Oct; pp. 280-90
6. J. Hunt, Neural Network for Control System- A Survey. Automatica 1992 pp. 1083-1112
7. S. Haykin, "Neural Network: A Comprehensive foundation", IEEE Press, N.Y.
8. T. Parisini and R. Zoppoli, "Neural Networks for feedback Feedforward Nonlinear Control Systems", IEEE on NN, 1994. pp. 436 - 449
9. E. Ferranninni and C. Cobelli, The kinetics of insulin in mat II, role of the liver. Diabetes Metab Rev. 3:356-397, 1987
10. http://www.uned.es/pea-nutricion-v-dietetica-I/guia/diabetes/prodinsu.htm