Hybrid Time-Series Prediction Method Based on Entropy Fusion Feature

Algorithm 1

EEMD-ELSTM approach.

	Input: data steam  = {}, , epoch , the number of iterations , error parameters , cycle index , number of decomposition , white Gaussian noise , and entropy classification number
	Output: Predicted result
(1)	//input data
(2)	//output data
(3)	for each do
(4)
(5)	fordo
(6)	end for
(7)	end for
(8)	fordo
(9)
(10)	end for
(11)	for each do
(12)
(13)	end for