RAEF: An Imputation Framework Based on a Gated Regulator Autoencoder for Incomplete IIoT Time-Series Data

Algorithm 1

Training of RAEF.

	Input: The learning rate . The clipping parameter . The batch size . The set of training data . The initial encoder parameters . The initial decoder parameters .
(1)	while not converged do
(2)	Sample from .
(3)	Set according to the missing pattern.
(4)	Initialize by zeros.
(5)	for to do
(6)	.
(7)	.
(8)	end for
(9)	RMSProp .
(10)	clip .
(11)	.
(12)	Get by Equation (7).
(13)	for to do
(14)
(15)	.
(16)	.
(17)	end for
(18)	RMSProp .
(19)	end while