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Titlebook: Advances in Neural Networks-- ISNN 2010; 7th International Sy Liqing Zhang,Bao-Liang Lu,James Kwok Conference proceedings 2010 Springer-Ver

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樓主: BRISK
41#
發(fā)表于 2025-3-28 16:31:26 | 只看該作者
A Hybrid Particle Swarm Optimization Algorithm Based on Nonlinear Simplex Method and Tabu Searchon for this is that the large number of available data, and the possible comparison with natural components in the groundwater can be better used for statistical comparison and illustration of the methodology. With effectively no modifications the same estimation techniques can also be applied to sm
42#
發(fā)表于 2025-3-28 21:22:30 | 只看該作者
Fourier Series Chaotic Neural Networksfrom 19.5?m (VES 19) to 149.5?m (VES 15). The average values of Porosity, Hydraulic Conductivity, and Transmissivity are 28.4%, 0.23?m/day, and 15.9?m./day, respectively. The correlation of hydraulic conductivity (.) with the porosity (.), transmissivity (.), longitudinal unit conductance (S), and a
43#
發(fā)表于 2025-3-28 23:37:49 | 只看該作者
44#
發(fā)表于 2025-3-29 04:47:40 | 只看該作者
45#
發(fā)表于 2025-3-29 09:52:16 | 只看該作者
Current Perception Threshold Measurement via Single Channel Electroencephalogram Based on ConfidenceOverview:
46#
發(fā)表于 2025-3-29 14:35:51 | 只看該作者
47#
發(fā)表于 2025-3-29 15:54:55 | 只看該作者
A Neural Network Algorithm for Solving Quadratic Programming Based on Fibonacci MethodOverview:
48#
發(fā)表于 2025-3-29 22:15:49 | 只看該作者
49#
發(fā)表于 2025-3-30 01:31:07 | 只看該作者
https://doi.org/10.1007/978-1-4757-0492-1he linear stability approach and bifurcation theory, sufficient conditions for the bifurcated periodic solution are derived, and critical values of Hopf bifurcation are assessed. The amplitude of oscillations always increases as the range parameter increases; the robustness of period against change in the range parameter occurs.
50#
發(fā)表于 2025-3-30 05:53:04 | 只看該作者
The Internationalization of Enosis,th individuals and different distance from reference to signal source on scalps. This paper will introduce a novel method using power spectral density to discriminate awaking, light sleep and deep sleep EEG just according to the features extracted from EEG.
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