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Advanced Fuzzy Logic Technologies in Industrial Applications

The ability of fuzzy systems to provide shades of gray between "on or off" and "yes or no" is ideally suited to many of today’s complex industrial control systems. The static fuzzy systems usually discussed in this context fail to take account of inputs outside a pre-set range an...

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书目详细资料
企业作者: SpringerLink (Online service)
其他作者: Bai, Ying. (Editor, http://id.loc.gov/vocabulary/relators/edt), Zhuang, Hanqi. (Editor, http://id.loc.gov/vocabulary/relators/edt), Wang, Dali. (Editor, http://id.loc.gov/vocabulary/relators/edt)
格式: 电子 电子书
语言:English
出版: London : Springer London : Imprint: Springer, 2006.
版:1st ed. 2006.
丛编:Advances in Industrial Control,
主题:
Control engineering.
Artificial intelligence.
Robotics.
Mechatronics.
Pattern recognition.
Automotive engineering.
Biomedical engineering.
Control and Systems Theory.
Artificial Intelligence.
Control, Robotics, Mechatronics.
Pattern Recognition.
Automotive Engineering.
Biomedical Engineering and Bioengineering.
在线阅读:https://doi.org/10.1007/978-1-84628-469-4
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https://doi.org/10.1007/978-1-84628-469-4

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