Partial Observer Decision Process Model for Crane-Robot Action

Algorithm 1

Observer parameter learning.

	Input: dynamic input coordinates ;
	Hidden representation of time : ;
	Class label for the time t: ;
	Output: the prediction on time : ;
(1)	Step 1: initialization
(2)	do
(3)	Calculate the hidden representation on time :
(4)	Calculate the visible representation on time :
(5)	Calculate the class label of the prediction on time :
(6)	while ;
(7)	Adjust the initial input value randomly.
(8)	return ;