Cancer model identification via sliding mode and differential neural networks

N. Aguilar; A. Cabrera; I. Chairez

doi:10.1109/ICEEE.2005.1529669

Cancer model identification via sliding mode and differential neural networks

Unidad Profesional Interdisciplinaria de Biotecnología (UPIBI)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

The present paper provides a description for the identification process of the cancer mathematical model proposed by [1] under the immunotherapy treatment by differential neural networks and sliding mode type observer techniques. The combination of these both techniques make available a close enough tracking between the estimate states given by the neural network and the cancer model dynamics: these are the interleukin- 2, the tumor cells and the effector cells concentrations. The feedback error and the sign function error are the hints for application into the learning algorithm. This algorithm is tested by numerical calculations and at the same time, it looks as an important opportunity to build feedbacks controls.

Idioma original	Inglés
Título de la publicación alojada	2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005
Páginas	459-462
Número de páginas	4
DOI	https://doi.org/10.1109/ICEEE.2005.1529669
Estado	Publicada - 2005
Evento	2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005 - Mexico City, México Duración: 7 sep. 2005 → 9 sep. 2005

Serie de la publicación

Nombre	2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005
Volumen	2005

Conferencia

Conferencia	2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005
País/Territorio	México
Ciudad	Mexico City
Período	7/09/05 → 9/09/05

ODS de las Naciones Unidas

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10.1109/ICEEE.2005.1529669

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Aguilar, N., Cabrera, A., & Chairez, I. (2005). Cancer model identification via sliding mode and differential neural networks. En 2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005 (pp. 459-462). Artículo 1529669 (2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005; Vol. 2005). https://doi.org/10.1109/ICEEE.2005.1529669

Aguilar, N. ; Cabrera, A. ; Chairez, I. / Cancer model identification via sliding mode and differential neural networks. 2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005. 2005. pp. 459-462 (2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005).

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title = "Cancer model identification via sliding mode and differential neural networks",

abstract = "The present paper provides a description for the identification process of the cancer mathematical model proposed by [1] under the immunotherapy treatment by differential neural networks and sliding mode type observer techniques. The combination of these both techniques make available a close enough tracking between the estimate states given by the neural network and the cancer model dynamics: these are the interleukin- 2, the tumor cells and the effector cells concentrations. The feedback error and the sign function error are the hints for application into the learning algorithm. This algorithm is tested by numerical calculations and at the same time, it looks as an important opportunity to build feedbacks controls.",

keywords = "Cancer Treatment, Differential Neural Network, Identification, Immunotherapy, Sliding Modes Technique",

author = "N. Aguilar and A. Cabrera and I. Chairez",

year = "2005",

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language = "Ingl{\'e}s",

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pages = "459--462",

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note = "2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005 ; Conference date: 07-09-2005 Through 09-09-2005",

}

Aguilar, N, Cabrera, A & Chairez, I 2005, Cancer model identification via sliding mode and differential neural networks. En 2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005., 1529669, 2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005, vol. 2005, pp. 459-462, 2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005, Mexico City, México, 7/09/05. https://doi.org/10.1109/ICEEE.2005.1529669

Cancer model identification via sliding mode and differential neural networks. / Aguilar, N.; Cabrera, A.; Chairez, I.
2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005. 2005. p. 459-462 1529669 (2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005; Vol. 2005).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AB - The present paper provides a description for the identification process of the cancer mathematical model proposed by [1] under the immunotherapy treatment by differential neural networks and sliding mode type observer techniques. The combination of these both techniques make available a close enough tracking between the estimate states given by the neural network and the cancer model dynamics: these are the interleukin- 2, the tumor cells and the effector cells concentrations. The feedback error and the sign function error are the hints for application into the learning algorithm. This algorithm is tested by numerical calculations and at the same time, it looks as an important opportunity to build feedbacks controls.

KW - Cancer Treatment

KW - Differential Neural Network

KW - Identification

KW - Immunotherapy

KW - Sliding Modes Technique

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Aguilar N, Cabrera A , Chairez I. Cancer model identification via sliding mode and differential neural networks. En 2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005. 2005. p. 459-462. 1529669. (2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005). doi: 10.1109/ICEEE.2005.1529669

Cancer model identification via sliding mode and differential neural networks

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