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Flatness pattern recognition is the key of the flatness control. The accuracy of the present flatness pattern recognition is limited and the shape defects cannot be reflected intuitively. In order to improve it, a novel method via T-S cloud inference network optimized by genetic algorithm(GA) is proposed. T-S cloud inference network is constructed with T-S fuzzy neural network and the cloud model. So, the rapid of fuzzy logic and the uncertainty of cloud model for processing data are both taken into account. What’s more, GA possesses good parallel design structure and global optimization characteristics. Compared with the simulation recognition results of traditional BP Algorithm, GA is more accurate and effective. Moreover, virtual reality technology is introduced into the field of shape control by Lab VIEW, MATLAB mixed programming. And virtual flatness pattern recognition interface is designed.Therefore, the data of engineering analysis and the actual model are combined with each other, and the shape defects could be seen more lively and intuitively. 相似文献
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全面推进乡村振兴是实现中华民族伟大复兴的重大任务。实施乡村振兴战略,必须以高质量党建引领,加强顶层设计,以更有力的举措,汇聚更强大的力量来推进。从国家的宏观政策导向看,将职业教育与乡村振兴战略有机结合,强调大力发展面向乡村振兴的职业教育。立足本地资源,根据承德地区高等职业教育发展和乡村振兴工作实际,通过实践路径的探索找寻两者融合的着力点,统一到党建引领的旗帜下,进而深化职教赋能,让“党旗红”成为承德地区乡村振兴的最亮丽底色。 相似文献
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