娘娘腔
发表于 2025-3-28 18:05:30
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值得尊敬
发表于 2025-3-28 20:19:08
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Myocyte
发表于 2025-3-29 01:32:14
Bruce Simmons,Robyn Bushell,Jennifer Scottew data points appear has been analyzed in this paper. Two strategies for retraining the neural network that realizes the multidimensional data visualization have been proposed and then the analysis has been made.
glamor
发表于 2025-3-29 06:46:48
Facilitating Visual Socialities addition, the database extends classical equivalence relations with fuzzy proximity relations, which provide users with interesting analytical capabilities. In this paper we concentrate on both of these properties when proposing new approaches to interpretation of non-atomic values for decision making purposes.
意外的成功
发表于 2025-3-29 08:57:12
Artificial Intelligence and Soft Computing – ICAISC 2006978-3-540-35750-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
eucalyptus
发表于 2025-3-29 12:47:02
0302-9743 Overview: 978-3-540-35748-3978-3-540-35750-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
LASH
发表于 2025-3-29 19:17:48
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描绘
发表于 2025-3-29 19:56:12
https://doi.org/10.1007/978-94-007-6137-7function networks. The parameters of the network including centers, covariance matrices and synaptic weights are trained by the empirical risk minimization. We show the rates of convergence for the networks whose parameters are learned by the complexity regularization.
confide
发表于 2025-3-30 02:20:11
Systems of Care in North Americaus CNNs. According to our simulation result for the single neuron model, this new C-CNN model has richer and more flexible dynamics, compared to the conventional CNN with only stable dynamics. The hardware implementation of this new network may be important for solving a wide variety of combinatorial optimization problems.
jaunty
发表于 2025-3-30 05:45:28
James Y. L. Thong,Chee-Sing Yapwith a metric in the label space. Then, this problem is approximately solved, providing hints on selecting appropriate RBF nets. It was shown that the approximate solution is the exact one in several important cases. Finally, we propose the algorithm for learning the proposed RBF net. The results of its testing are briefly reported.