An Incremental Learning Ensemble Strategy for Industrial Process Soft Sensors

Table 6

The performance comparisons of the algorithms.

Data set	Method	RMSE	ARE	Max ARE
Friedman#1	ELM	0.8278	0.7662	4.7880
	AdaBoost.R	0.7987	0.6536	3.8817
	ILES	0.3099	0.3073	2.7132
Friedman#2	ELM	0.6338	0.9975	17.9870
	AdaBoost.R	0.4190	0.4495	7.3544
	ILES	0.2079	0.3683	7.2275
Friedman#3	ELM	1.1409	1.4314	14.9348
	AdaBoost.R	0.8959	1.3461	11.5991
	ILES	0.4624	0.3930	5.2719