Identification problems of temperature field parameters in human body by cyclic therapy

• Autorzy: Kącki E. , Małolepszy A. , Janaszewski M.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with modelling of temperature fields created in human body at cyclic therapy and with identification of the field parameters. The paper contain also description of artificial neural network applied to investigations of modeled temperature fields. To train a network, training and testing sets obtained by solving a boundary problem for a partial differential equation of parabolic type under cyclic constraint have been used. The paper shows the results of a computer experiment and points at some possibilities of exploitation of the elaborated software to modelling of phenomena occuring at cyclic therapy.

Słowa kluczowe

EN

temperature field; numerical modelling; chemotherapy; artificial neural network

PL

pole temperatury; modelowanie numeryczne; chemioterapia; sztuczna sieć neuronowa

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2000
• Tom: Vol. 8, nr 1
• Strony: 93--100
• Opis fizyczny: Bibliogr. 4 poz.

Twórcy

autor

Kącki E.

• Technical University of Łódź

autor

Małolepszy A.

• Technical University of Łódź

autor

Janaszewski M.

• College of Computer Science of Łódź, Poland

Bibliografia

• [1] Kącki E.: Temperature fields in electric machines at intermittent work with convective interchange of heat. Archiwum Elekt. No 3, 1971 (in Polish).
• [2] Kącki E.: Quasi - steady temperature fields created by cyclic constraints in a flat wall. Archiwum Termodyn. Vol. 3, Nr 3-4, 1982 (in Polish)
• [3] Kącki E.: Partial differential equation in physics and technolo gy. PWN, Warsaw 1989 (in Polish).
• [4] Rutkowska D., Piliński M., Rutkowski L.: Neural networks, genetic algorithms and fuzzy systems, Warsaw, PWN, 1997 (in polish).