障碍物 发表于 2025-3-26 22:39:51

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ascetic 发表于 2025-3-27 04:27:40

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ERUPT 发表于 2025-3-27 07:29:38

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graphy 发表于 2025-3-27 10:02:57

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不能妥协 发表于 2025-3-27 16:07:23

Intelligent Control of a Battery Charging Process with a Hybrid Approache soft computing techniques and mathematical models to achieve the goal of controlling the electrochemical process to follow a desired production plan. We have developed several hybrid architectures that combine fuzzy logic, neural networks, and genetic algorithms, to compare the performance of each

Ovulation 发表于 2025-3-27 21:28:33

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四指套 发表于 2025-3-27 22:10:28

Intelligent Control of Robotic Autonomous Systems using a Neuro-Fuzzy-Genetic Approachks, fuzzy logic, and genetic algorithms. Intelligent control of robotic systems is a difficult problem because the dynamics of these systems is highly non-linear. We describe an intelligent system for controlling robotic systems to illustrate our new hybrid approach for adaptive control. We use a ne

Palliation 发表于 2025-3-28 03:40:35

Prediction of Power Requirement in Turning using a GA-Fuzzy Approachk, power requirement in turning is expressed as a function of three inputs, namely cutting speed, feed and depth of cut and this process is modelled using a combined GA-Fuzzy approach. An optimized knowledge base (KB) of the fuzzy logic controller (FLC) which is the representative of the KB of a Lat

CLIFF 发表于 2025-3-28 09:18:55

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不来 发表于 2025-3-28 10:35:14

Some Realisation Issues of Fuzzy Gain-Scheduling Controllers: a Robotic Manipulator Case Studyn case study is the control of robotic manipulator with a single link. A conventional fuzzy gain-scheduling controller, where parameters of a linear controller are blended with fuzzy logic, and an alternative one, where realisation is based on velocity-based linearisation are compared. Local control
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查看完整版本: Titlebook: Soft Computing and Industry; Recent Applications Rajkumar Roy,Mario Köppen,Frank Hoffmann Book 2002 Springer-Verlag London 2002 Chaos.Fuzzy