Titlebook: Advances in Neural Networks – ISNN 2020; 17th International S Min Han,Sitian Qin,Nian Zhang Conference proceedings 2020 Springer Nature Swi

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书目名称Advances in Neural Networks – ISNN 2020影响因子(影响力)




书目名称Advances in Neural Networks – ISNN 2020影响因子(影响力)学科排名




书目名称Advances in Neural Networks – ISNN 2020网络公开度




书目名称Advances in Neural Networks – ISNN 2020网络公开度学科排名




书目名称Advances in Neural Networks – ISNN 2020被引频次




书目名称Advances in Neural Networks – ISNN 2020被引频次学科排名




书目名称Advances in Neural Networks – ISNN 2020年度引用




书目名称Advances in Neural Networks – ISNN 2020年度引用学科排名




书目名称Advances in Neural Networks – ISNN 2020读者反馈




书目名称Advances in Neural Networks – ISNN 2020读者反馈学科排名

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Mercy Nkatha,Jonas Yawovi Dzinekkouaic module, is composed of solar cells in series connection and parallel connection. Photovoltaic module directly converts the light energy of the sun into electric energy. The construction of solar cell model needs precise parameters to support. This paper proposes using classification particle swa

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模范

https://doi.org/10.1007/978-981-15-0383-2ple-Size (HDLSS) problem in modelling. In this work, we extend the state-of-the-art multi-resolution SSM approach from two dimension (2D) to three dimension (3D) and from single organ to multiple organs. Then we proposed a multi-resolution multi-organ 3D SSM method that uses a downsampling-and-inter

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https://doi.org/10.1007/978-981-15-0383-2m of multiple local convex functions, which can be nonsmooth. Based on graph theory and nonsmooth analysis, we propose a neural network with a time-varying auxiliary function. The boundedness of the state solution is demonstrated by using the properties of the auxiliary function. Moreover, it is pro

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impaction

https://doi.org/10.1007/978-981-15-0383-2 directly predict the pose from the point cloud in a data-driven way remains an open question. In this paper, we present a deep learning-based laser odometry system that consists of a network pose estimation and a local map pose optimization. The network consumes the original 3D point clouds directl