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Using Adaptive Networks to Model and Control Drug Delivery

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/64.491279

April 1996 (vol. 11 no. 2) pp. 31-37

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	ASCII Text	x
	John Y. Conway, Marios M. Polycarpou, "Using Adaptive Networks to Model and Control Drug Delivery," IEEE Expert: Intelligent Systems and Their Applications, vol. 11, no. 2, pp. 31-37, April, 1996.

	BibTex	x
	@article{ 10.1109/64.491279, author = {John Y. Conway and Marios M. Polycarpou}, title = {Using Adaptive Networks to Model and Control Drug Delivery}, journal ={IEEE Expert: Intelligent Systems and Their Applications}, volume = {11}, number = {2}, issn = {0885-9000}, year = {1996}, pages = {31-37}, doi = {http://doi.ieeecomputersociety.org/10.1109/64.491279}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Expert: Intelligent Systems and Their Applications TI - Using Adaptive Networks to Model and Control Drug Delivery IS - 2 SN - 0885-9000 SP31 EP37 EPD - 31-37 A1 - John Y. Conway, A1 - Marios M. Polycarpou, PY - 1996 VL - 11 JA - IEEE Expert: Intelligent Systems and Their Applications ER -

John Y. Conway

Marios M. Polycarpou

Adaptive networks, a nonlinear modeling technique, hold great promise for control of complex systems. The authors apply a specific type of adaptive network--neural networks--to regulate blood pressure using a vasodilator drug. Their simulations demonstrate the superiority of nonlinear neural networks over linear modeling techniques for estimating the drug's effect and regulating blood pressure at a prescribed level.

Citation:

John Y. Conway, Marios M. Polycarpou, "Using Adaptive Networks to Model and Control Drug Delivery," IEEE Expert: Intelligent Systems and Their Applications, vol. 11, no. 2, pp. 31-37, Apr., 1996

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