A service provided by the WU Library and the WU IT-Services

Controllability of discrete-time two dimensional single input recurrent neural networks

Steinberger, Thomas and Zinner, Lucas (1999) Controllability of discrete-time two dimensional single input recurrent neural networks. Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 56. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.

[img]
Preview
PDF
Download (215Kb) | Preview

Abstract

This paper presents a complete characterization of controllability and reachability for the class of discrete-time recurrent neural networks with state space dimension 2 and single input. (author's abstract)

Item Type: Paper
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: 06 Mar 2002 15:03
Last Modified: 22 Feb 2015 19:13
URI: http://epub.wu.ac.at/id/eprint/276

Actions

View Item