Perceptual Machine algorithm Basic form

Output factor: W,b Perceptron Model: F (x) =wx+b

(1) Select the initial value w0,b0

(2) Selecting data in the training data set (XI,YI)

(3) If Yi (wxi+b) ≤0 (when Yi and wxi+b are classified incorrectly, such as should be wxi+b greater than 1 side, the error is classified as Yi less than 0)

　　　　

　　　　

Adjusting the w,b by mistakenly classifying the points on one side makes the classification plane move toward the side of the wrong classification point.

(4) go to (2) to the training set no longer the wrong classification point

Perceptual Machine algorithm Basic form