دورية أكاديمية
Grey Model Optimized by Particle Swarm Optimization for Data Analysis and Application of Multi-Sensors.
العنوان: | Grey Model Optimized by Particle Swarm Optimization for Data Analysis and Application of Multi-Sensors. |
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المؤلفون: | Li, Chenming, Gao, Hongmin, Qiu, Junlin, Yang, Yao, Qu, Xiaoyu, Wang, Yongchang, Bi, Zhuqing |
المصدر: | Sensors (14248220); Aug2018, Vol. 18 Issue 8, p2503, 1p |
مصطلحات موضوعية: | PARTICLE swarm optimization, DATA analysis, MULTISENSOR data fusion, PREDICTION models, NONLINEAR systems, PARAMETER estimation |
مستخلص: | Data on the effective operation of new pumping station is scarce, and the unit structure is complex, as the temperature changes of different parts of the unit are coupled with multiple factors. The multivariable grey system prediction model can effectively predict the multiple parameter change of a nonlinear system model by using a small amount of data, but the value of its |
Copyright of Sensors (14248220) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
قاعدة البيانات: | Complementary Index |
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