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

N. Aguilar, A. Cabrera, I. Chairez

Unidad Profesional Interdisciplinaria de Biotecnología (UPIBI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005
Pages	459-462
Number of pages	4
DOIs	https://doi.org/10.1109/ICEEE.2005.1529669
State	Published - 2005
Event	2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005 - Mexico City, Mexico Duration: 7 Sep 2005 → 9 Sep 2005

Publication series

Name	2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005
Volume	2005

Conference

Conference	2nd International Conference on Electrical and Electronics Engineering, ICEEE and XI Conference on Electrical Engineering, CIE 2005
Country/Territory	Mexico
City	Mexico City
Period	7/09/05 → 9/09/05

Keywords

Cancer Treatment
Differential Neural Network
Identification
Immunotherapy
Sliding Modes Technique

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICEEE.2005.1529669

Cite this

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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M3 - Contribución a la conferencia

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Aguilar N, Cabrera A , Chairez I. Cancer model identification via sliding mode and differential neural networks. In 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

Abstract

Publication series

Conference

Keywords

UN SDGs

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