TY - GEN
T1 - Stochastic neural networks applied to dynamic glucose model for diabetic patients
AU - Fonseca, Humberto M.
AU - Ortiz, Víctor H.
AU - I.cabrera, Agustín
PY - 2004
Y1 - 2004
N2 - In this paper, we have described the use of stochastic neural networks in the Bergman's model of Insulin-glucose interaction, this model is observable in the sense of control theory, the variables in the model cannot be measured on-line but these were estimated by the neural network. The variables behavior are presented for a typical input like a food ingest in a period of time of 6 hours, the dynamic evolution of the insuline and glucose concentrations are showed for the perturbations and non perturbations model.
AB - In this paper, we have described the use of stochastic neural networks in the Bergman's model of Insulin-glucose interaction, this model is observable in the sense of control theory, the variables in the model cannot be measured on-line but these were estimated by the neural network. The variables behavior are presented for a typical input like a food ingest in a period of time of 6 hours, the dynamic evolution of the insuline and glucose concentrations are showed for the perturbations and non perturbations model.
UR - http://www.scopus.com/inward/record.url?scp=24644447704&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:24644447704
SN - 0780385314
SN - 9780780385313
T3 - 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
SP - 522
EP - 525
BT - 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
T2 - 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
Y2 - 8 September 2004 through 10 September 2004
ER -
