Steinberger, Thomas and Zinner, Lucas (1999) Complete controllability of discrete-time recurrent neural networks. Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 41. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.
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Abstract
This paper presents a characterization of complete controllability for the class of discrete-time recurrent neural networks. We prove that complete controllability holds if and only if the rank of the control matrix equals the state space dimension. (author's abstract)
Item Type: | Paper |
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Keywords: | neuronales Netz / Kontrollsystem |
Divisions: | Departments > Informationsverarbeitung u Prozessmanag. > Produktionsmanagement > Taudes Departments > Finance, Accounting and Statistics > Statistics and Mathematics Departments > Marketing > Service Marketing und Tourismus Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft |
Depositing User: | Repository Administrator |
Date Deposited: | 08 Mar 2002 10:06 |
Last Modified: | 22 Oct 2019 00:41 |
URI: | https://epub.wu.ac.at/id/eprint/440 |
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