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Titlebook: Computational Intelligence, Networked Systems and Their Applications; International Confer Minrui Fei,Chen Peng,Qinglong Han Conference pro

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31#
發(fā)表于 2025-3-26 22:25:32 | 只看該作者
An Improved Artificial Fish Swarm Algorithm and Application the actual value and simulation calculation value is tiny, the new AFSA is effective. The improved AFSA provides a new efficient calculation method of LED proportions. Compared with the traditional manual calculation LED proportions, new method not only saves a significant amount of time, but also
32#
發(fā)表于 2025-3-27 03:41:55 | 只看該作者
33#
發(fā)表于 2025-3-27 06:39:04 | 只看該作者
34#
發(fā)表于 2025-3-27 10:35:57 | 只看該作者
https://doi.org/10.1007/978-3-322-99479-0in the paper, then the detection effects and computing time are compared between several detection methods, and the mechanism of inspecting has been analyzed. The industrial applications are also given in the paper.
35#
發(fā)表于 2025-3-27 16:15:19 | 只看該作者
https://doi.org/10.1007/978-3-322-99479-0ir wise comparison, after that, established the non-linear consistency correction model. Finally, used Particle Swarm Optimization to calculate the judgment matrix with better consistency and the corresponding index weight, and constructed the theoretical model.
36#
發(fā)表于 2025-3-27 19:07:18 | 只看該作者
37#
發(fā)表于 2025-3-27 22:13:51 | 只看該作者
Research on Visual Environment Evaluation System of Subway Station Spaceir wise comparison, after that, established the non-linear consistency correction model. Finally, used Particle Swarm Optimization to calculate the judgment matrix with better consistency and the corresponding index weight, and constructed the theoretical model.
38#
發(fā)表于 2025-3-28 04:04:38 | 只看該作者
Conference proceedings 2014y, neural, and fuzzy-neuro hybrids; intelligent modeling, monitoring, and control of complex nonlinear systems; intelligent modeling and simulation of climate change; communication and control for distributed networked systems.
39#
發(fā)表于 2025-3-28 07:45:16 | 只看該作者
40#
發(fā)表于 2025-3-28 11:24:17 | 只看該作者
Michael Johann,Thomas Knieper,Moritz Haucked for solving the pallet loading problem. Simulation results show that compared with the conventional Genetic Algorithm (AG) for two pallet loading problems with different scales, the new learning algorithm is proved to be more efficiently.
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