Resource title

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

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Resource description

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) ; Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

Resource author

Thomas Steinberger, Lucas Zinner

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Resource publish date

Resource language

en

Resource content type

application/pdf

Resource resource URL

http://epub.wu.ac.at/276/1/document.pdf

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