Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Weiping Meng"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 3768-3792 (2023)
Although Extreme Learning Machine (ELM) can learn thousands of times faster than traditional slow gradient algorithms for training neural networks, ELM fitting accuracy is limited. This paper develops Functional Extreme Learning Machine (FELM), which
Externí odkaz:
https://doaj.org/article/8f365f3bcd784425b080ae26340a261f
Publikováno v:
Structural and Multidisciplinary Optimization. 66
Autor:
Weiping Meng, Wenxin Shao
Publikováno v:
Journal of Sensors. 2022:1-8
In order to solve the problem that the traditional operation and maintenance system of photovoltaic operation and power station is mainly based on statistical analysis and multisite and multilevel deployment mode, which wastes software and hardware r
Publikováno v:
Mathematical Biosciences and Engineering. 20:3768-3792
Although Extreme Learning Machine (ELM) can learn thousands of times faster than traditional slow gradient algorithms for training neural networks, ELM fitting accuracy is limited. This paper develops Functional Extreme Learning Machine (FELM), which
Publikováno v:
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).
Aiming at the requirements of data processing, parameter interpretation and automatic generation of evaluation report for range test, a four-tier system framework is designed, including basic layer, support layer, evaluation layer and application lay