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Titlebook: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence; Fourth International De-Shuang Huang,Don

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發(fā)表于 2025-3-25 05:56:07 | 只看該作者
22#
發(fā)表于 2025-3-25 09:17:58 | 只看該作者
Wolfgang Kern,Gunter Weiner,Josef Meixneranisms of affix and root morpheme creativity and analysis. The task of the creation of an English vocabulary was resolved with neural networks which have an evolvable architecture with learning capabilities as well as a fuzzy connectionist structure. The paper features a form of artificial creativit
23#
發(fā)表于 2025-3-25 14:50:50 | 只看該作者
https://doi.org/10.1007/978-3-642-45816-3o be orthogonal. Furthermore, this paper constructs the extended Legendre wavelet neural network (ELWNN) by using the ELW functions instead of the activation functions of a multilayer perceptron neural network (MPNN). The ELWNN has advantages of simple structure and very efficient convergence rate.
24#
發(fā)表于 2025-3-25 19:36:40 | 只看該作者
25#
發(fā)表于 2025-3-25 21:32:36 | 只看該作者
https://doi.org/10.1007/978-3-658-02917-3near matrix equations with time-varying coefficients. Such recurrent neural networks, designed based on a matrix-valued error-function, could achieve global exponential convergence when solving online time-varying problems in comparison with gradient neural networks. This paper investigates the MATL
26#
發(fā)表于 2025-3-26 03:50:23 | 只看該作者
27#
發(fā)表于 2025-3-26 06:40:07 | 只看該作者
Galerie Seide. Knotenpunkt Hannoveron of warranty claims data. The second step is early warning grade determination, considering both of the quantitave analysis and qualitative factors related to the early warning one. The third step is unit list sampling with pure warranty claims in all these activities. Especially, the consideratio
28#
發(fā)表于 2025-3-26 11:22:42 | 只看該作者
Galerie Seide. Knotenpunkt Hannoverrithm to select the pattern layer centers and Particle Swarm Optimization (PSO) to optimize the spread parameter, enhancing its performance. In order to cope with the degradations, the Combined Blur-Affine Invariants (CBAIs) are adopted to extract the features of traffic sign symbols without any res
29#
發(fā)表于 2025-3-26 14:48:32 | 只看該作者
https://doi.org/10.1007/978-3-658-02917-3nsive scores as output by using the analytic hierarchy process (AHP). The network was separately trained by momentum factorial algorithm, Gauss–Newton algorithm and Levenberg-Marquardt algorithm. With the application and verification in Haier refrigerator schemes, the comparison of speed and mean ab
30#
發(fā)表于 2025-3-26 17:29:04 | 只看該作者
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