Recall Network: A Simple Brain-Inspired Algorithm for Classification

Algorithm 2

Teaching the recall network with the training dataset.

	input: training data
	output: the network weighted by all training examples
	Training the Recall Network;
	for i ⟵ 1 to the number of examples do
	classIndex = the class index of the ith example
	for j ⟵ 1 to the Number of attribute−1 do;
	RowNoj = the row number of the value in jth layer;
	RowNoj+1 = the row number the value in (j + 1)th layer;
	e = the edge between the Node (j, RowNoj) and Node (j, RowNoj+1);
	e.ClassVector[ClassIndex] + 1
	end
	end