An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning

Algorithm 2 Steps for the implementation of independent component analysis (ICA).

	Input: dimensional input data matrix with number of samples , and variance threshold
	Output: reduced dimensional data matrix ,
	Select a nonquadratic nonlinear function
	Initialize as , where ratio of source during mixing, matrix contains different components, and mixed output
	Perform PCA on , as as in Algorithm 1
	whiledo
	Update
	Normalize
	Derive the new dataset by taking where