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Controllability of discrete-time two dimensional single input recurrent neural networksSteinberger, Thomas, Zinner, Lucas January 1999 (has links) (PDF)
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"
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Complete controllability of discrete-time recurrent neural networksSteinberger, Thomas, Zinner, Lucas January 1999 (has links) (PDF)
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) / Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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