Prediction Interval Construction for Byproduct Gas Flow Forecasting Using Optimized Twin Extreme Learning Machine

Table 5

Comparisons of different methods for BFG consumption in the hot-rolling process.

PINC	Method	PICP	PINAW	PINAD
90%	Bayesian	89.00%	32.76%	0.47%
	Bootstrap	90.00%	35.71%	0.52%
	LUBE	91.00%	33.52%	0.50%
	Proposed method	91.00%	32.29%	0.44%
95%	Bayesian	96.00%	41.90%	0.23%
	Bootstrap	96.00%	42.87%	0.20%
	LUBE	95.00%	40.90%	0.27%
	Proposed method	96.00%	39.06%	0.22%
99%	Bayesian	99.00%	59.17%	0.03%
	Bootstrap	99.00%	58.50%	0.04%
	LUBE	99.00%	55.62%	0.04%
	Proposed method	99.00%	54.60%	0.03%