Titlebook: Mathematical Aspects of Computer and Information Sciences; 8th International Co Daniel Slamanig,Elias Tsigaridas,Zafeirakis Zafeir Conferen

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Viviane Ledoux,Guillaume Moroz [.], the shortcomings of current control methods in dealing with such applications were elucidated, and a new robust control approach based on terminal sliding modes was introduced. In this paper, the problem of identifying uncertain environments for stable contact control is considered. For the pu

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Katsusuke Nabeshima,Shinichi Tajimablems amenable to classical analysis techniques have a component that defies explicit analysis — the intrinsic uncertainties associated with describing and controlling the flows in high performance, mixed service networks. Unlike the stationary, uncorrelated sources characteristic of queueing theory

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Alexander Levinerent types of neural networks in UnityLearn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You’ll then move onto acti

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Ana C. Camargos Couto,Marc Moreno Maza,David Linder,David J. Jeffrey,Robert M. Corlesserent types of neural networks in UnityLearn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You’ll then move onto acti

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Qi Luan,Victor Y. Pan results of the respective neural methods.Dicusses array sig.Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system. Neural networks are a model-free, adaptive, parallel-processing solution. This textbook provides a

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