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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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51#
發(fā)表于 2025-3-30 10:16:07 | 只看該作者
https://doi.org/10.1007/978-3-663-08997-1e. Simulations and actual test results show that the PID controller based on BP neural network has strong adaptability and robustness in a nonlinear system. It can both save energy and solve the problem of drastically fluctuating illumination in a moving metro, which cannot be achieved in conventional PID controllers.
52#
發(fā)表于 2025-3-30 13:21:16 | 只看該作者
53#
發(fā)表于 2025-3-30 16:45:56 | 只看該作者
Grundlagen des Landfill Mining,values were sent back to fuzzy logic controller. Simulation results concerning two-tank system show that the DE optimized fuzzy controller has good adaptability, as well as it‘s effectiveness, which provides a new approach to improve fuzzy control system.
54#
發(fā)表于 2025-3-30 23:47:43 | 只看該作者
55#
發(fā)表于 2025-3-31 02:47:20 | 只看該作者
56#
發(fā)表于 2025-3-31 05:37:37 | 只看該作者
Prozess der strategischen Steuerungoarse search and fine search, cooperative search and learning. Finally, the proposed MCPSO was applied to some well-known benchmarks. The experimental results and relative analysis show mixed swarm cooperative search mechanism can greatly benefit the global optimization performance of PSO.
57#
發(fā)表于 2025-3-31 10:09:31 | 只看該作者
https://doi.org/10.1007/978-3-322-81740-2 developed DQSE outperforms the quantum-inspired evolutionary algorithm, the quantum-inspired evolutionary algorithm with NOT gate and QSE in terms of the search accuracy and the convergence speed, which demonstrates that DQSE is an effective and efficient optimization algorithm.
58#
發(fā)表于 2025-3-31 14:54:06 | 只看該作者
Kundenorientierung und Positionierung,rding to the CamShift algorithm features, in this article, I will combine Adaboost, CamShift and Kalman filtering algorithm, which can be relied on to realize face detection and tracking automatically and accurately.
59#
發(fā)表于 2025-3-31 18:39:48 | 只看該作者
60#
發(fā)表于 2025-4-1 01:06:01 | 只看該作者
A Study of Adaptive Neural Network Control Systemhydraulic system, the response and stability are the key factors to judge the control method is good or not. In our simulation, it shows that this adaptive neural network control system can meet the design requirements. It has good response and stability characteristics.
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