Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells

Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells

Ensemble learning breaks the bottleneck of weak learners and is usually significantly more accurate than base learners. The overall power conversion efficiency of all-organic dye-sensitized solar cells is difficult to obtain by either calculations or experiments. To achieve high-accuracy models, var...

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Bibliographic Details
Main Authors: Hui Li, Yanying Cui, Yunlong Liu, Wenze Li, Yue Shi, Chao Fang, Hongzhi Li, Ting Gao, Lihong Hu, Yinghua Lu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Dye-sensitized solar cell
global/local learning ensemble
heterogeneous/homogeneous learning ensemble
machine learning
power conversion efficiency
quantitative structure activity relationship
Online Access:https://ieeexplore.ieee.org/document/8395263/

Internet

https://ieeexplore.ieee.org/document/8395263/

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