concord 发表于 2025-3-21 19:46:01

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关节炎 发表于 2025-3-21 20:53:17

https://doi.org/10.1007/978-1-84628-645-2gies for choosing the weighting matrix. As an applicative example, we consider the distributed sequential algorithm for Random Vector Functional-Link networks. As expected, our experimental simulations show that the training time required by the algorithm is drastically reduced when considering a proper initialization of the weights.

engrave 发表于 2025-3-22 02:09:44

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ALLAY 发表于 2025-3-22 06:01:18

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马赛克 发表于 2025-3-22 10:32:07

Zhichao Zheng,Yonggang Li,Ying Wangnalities and evaluation methods for modelling concepts of learning, reasoning, and data interpretation. This introductory chapter provide a brief overview on the theoretical and computational issues of such artificial intelligent methods and how they are applied to several research problems.

松紧带 发表于 2025-3-22 14:56:38

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intertwine 发表于 2025-3-22 18:54:57

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anus928 发表于 2025-3-23 00:15:23

Networking Models and Standards,ncluding speech discrimination, genre classification, and artist recognition. Our experimental results show that a random-vector expansion is well suited for classification tasks, achieving the best accuracy in two out of three tasks.

招募 发表于 2025-3-23 03:54:41

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Amenable 发表于 2025-3-23 07:01:45

2190-3018 lications, embedded systems, ICT computational and theoretic.This carefullyedited book is putting emphasis on computational and artificial intelligentmethods for learning and their relative applications in robotics, embeddedsystems, and ICT interfaces for psychological and neurological diseases. The
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查看完整版本: Titlebook: Advances in Neural Networks; Computational Intell Simone Bassis,Anna Esposito,Eros Pasero Conference proceedings 2016 Springer Internationa