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Table 2 Prediction results of ELMs and previous machine learning models for heat collection rates and heat loss coefficients

From: Extreme learning machine: a new alternative for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters

Model	Property predicted	Average RMSE in testing
ELM (31 nodes)	Heat collection rate	0.30
SVM^a	Heat collection rate	0.29
GRNN^a	Heat collection rate	0.33
MLFN (12 nodes)^a	Heat collection rate	0.14
ELM (5 nodes)	Heat loss coefficient	0.67
SVM^a	Heat loss coefficient	0.73
GRNN^a	Heat loss coefficient	0.71
MLFN (6 nodes)^a	Heat loss coefficient	0.73

^aThese results were extracted from Liu et al. (2015a)

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