occult
发表于 2025-3-27 00:57:44
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Deference
发表于 2025-3-27 04:23:44
Vladimir Fridkin,Stephen Ducharmend achieves significant increase in performance on some simple datasets like MNIST. However, CapsNet gets a poor performance on more complex datasets like CIFAR-10. To address this problem, we focus on the improvement of the original CapsNet from both the network structure and the dynamic routing me
无效
发表于 2025-3-27 08:53:01
Stability Analysis of a Generalized Class of BAM Neural Networks with Mixed Delaysill construct a new and suitable Lyapunov function to derive the sufficient conditions which ensure that the equilibrium point exist and it is globally exponentially stable. A numerical example is given in order to confirm the theoretical developments of this paper.
facilitate
发表于 2025-3-27 10:47:13
Detection of Directional Information Flow Induced by TMS Based on Symbolic Transfer Entropy-level studies. Most of previous studies have derived functional or effective connectivity or changes in such connectivity during the resting states or cognitive tasks. However, it is difficult to see how such connectivity derived from “passively” recorded data represent actual neural interactions.
饥荒
发表于 2025-3-27 13:54:53
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162647.jpg
易于交谈
发表于 2025-3-27 19:20:57
https://doi.org/10.1007/978-3-030-30487-4artificial intelligence; classification; clustering; computational linguistics; computer networks; Human-
平项山
发表于 2025-3-27 22:25:49
978-3-030-30486-7Springer Nature Switzerland AG 2019
Vldl379
发表于 2025-3-28 04:20:23
Bidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methodsde accurate estimates of the maximum pattern number that can be stored at a tolerated noise level of 1%. It is revealed that block coding is most beneficial for sparse activity where each pattern has only . active units.
Tortuous
发表于 2025-3-28 06:15:22
A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamicsterizes the model has stationary solutions of the .-MaxEnt type and is associated with a free energy like quantity that decreases during the time-evolution of the system. This framework elucidates a possible dynamical mechanism which can generate .-MaxEnt distributions in Hopfield memory neural netw
愚笨
发表于 2025-3-28 14:26:52
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