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Robust optimization of spline models...

Ozmen, Ayse.

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Robust optimization of spline models and complex regulatory networks = theory, methods and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robust optimization of spline models and complex regulatory networks/ by Ayse Ozmen.
Reminder of title:	theory, methods and applications /
Author:	Ozmen, Ayse.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xii, 139 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Mathematical Methods Used -- New Robust Analytic Tools -- Spline Regression Models for Complex Multi-Model Regulatory Networks -- Robust Optimization in Spline Regression Models for Regulatory Networks Under Polyhedral Uncertainty -- Real-World Application with Our Robust Tools -- Conclusion and Outlook.
Contained By:	Springer eBooks
Subject:	Neural networks (Computer science) - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-30800-5
ISBN:	9783319308005

Robust optimization of spline models and complex regulatory networks = theory, methods and applications /
Ozmen, Ayse.

Robust optimization of spline models and complex regulatory networkstheory, methods and applications /[electronic resource] :by Ayse Ozmen. - Cham :Springer International Publishing :2016. - xii, 139 p. :ill., digital ;24 cm. - Contributions to management science,1431-1941. - Contributions to management science..

Introduction -- Mathematical Methods Used -- New Robust Analytic Tools -- Spline Regression Models for Complex Multi-Model Regulatory Networks -- Robust Optimization in Spline Regression Models for Regulatory Networks Under Polyhedral Uncertainty -- Real-World Application with Our Robust Tools -- Conclusion and Outlook.

ISBN: 9783319308005

Standard No.: 10.1007/978-3-319-30800-5doiSubjects--Topical Terms:

543321
Neural networks (Computer science)
--Mathematical models.

LC Class. No.: QA402.5 / .O96 2016

Dewey Class. No.: 519.6

Robust optimization of spline models and complex regulatory networks = theory, methods and applications /
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