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Titlebook: Advances in Neural Networks- ISNN 2013; 10th International S Chengan Guo,Zeng-Guang Hou,Zhigang Zeng Conference proceedings 2013 Springer-V

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樓主: GLAZE
61#
發(fā)表于 2025-4-1 04:07:38 | 只看該作者
Gabi Recknagel,Daniella Holland standard mean squared error (MSE) from time to time. Once an excursion produces a satisfactory MSE with cross-validation, the entire NRAE-MSE training stops. Numerical experiments show that the NRAE-MSE training method has a success rate of 100% in all the testing examples each starting with a large number of randomly selected initial weights.
62#
發(fā)表于 2025-4-1 07:14:34 | 只看該作者
0302-9743 trol, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.978-3-642-39064-7978-3-642-39065-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
63#
發(fā)表于 2025-4-1 10:37:58 | 只看該作者
64#
發(fā)表于 2025-4-1 14:53:38 | 只看該作者
65#
發(fā)表于 2025-4-1 21:09:12 | 只看該作者
66#
發(fā)表于 2025-4-2 00:28:26 | 只看該作者
67#
發(fā)表于 2025-4-2 04:06:23 | 只看該作者
Asha Bedar,Diane Bretherton,Anouk Rideay-dependent criterion to ensure the passivity for T-S fuzzy systems with time-varying delays is established in terms of linear matrix inequalities (LMIs) that can be easily checked by using the standard numerical software.
68#
發(fā)表于 2025-4-2 07:19:51 | 只看該作者
69#
發(fā)表于 2025-4-2 12:49:26 | 只看該作者
Conference proceedings 2013is, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.
70#
發(fā)表于 2025-4-2 16:33:14 | 只看該作者
The Guidelines for European Cities,est loopless paths in this network. By combining the . shortest paths algorithm and the finite-time convergent recurrent neural network, a new algorithm for the . smallest .-subsets problem is developed. And experimental results show that the proposed algorithm is very effective and efficient.
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