Synchronization of Heterogeneous Partially Coupled Networks with Heterogeneous Impulses
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9735-y
Abstract: This paper discusses quasi-synchronization problem in an array of heterogeneous partially coupled dynamical networks. At first, based on the Lyapunov stability theorem and the comparison principle, sufficient quasi-synchronization criteria are presented such that the proposed… read more here.
Keywords: synchronization heterogeneous; heterogeneous impulses; networks heterogeneous; heterogeneous partially ... See more keywords
Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users
Sign Up to like & getrecommendations! Published in 2020 at "Transportation Research Part A: Policy and Practice"
DOI: 10.1016/j.tra.2020.04.009
Abstract: In this paper, the authors investigate equitable congestion pricing schemes for networks of heterogeneous population with respect to income level and value-of-time (VOT). Six income-based groups are introduced to categorize the entire population, where each… read more here.
Keywords: equitable pricing; pricing schemes; networks heterogeneous; urban networks ... See more keywords
Dynamic networks of heterogeneous timed machines
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Structures in Computer Science"
DOI: 10.1017/s0960129517000135
Abstract: We present an algebra of discrete timed input/output automata that may execute in the context of different clock granularities – which we call timed machines; this algebra includes a refinement operator through which a machine… read more here.
Keywords: timed machines; machine; networks heterogeneous; dynamic networks ... See more keywords
PSO-Convolutional Neural Networks With Heterogeneous Learning Rate
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DOI: 10.1109/access.2022.3201142
Abstract: Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the scope of computer vision and related fields. Nevertheless, the dynamics of training of these neural networks lie still elusive: it is hard and… read more here.
Keywords: pso convolutional; neural networks; heterogeneous learning; convolutional neural ... See more keywords