Objectives 4 Perceptron Learning Rule
We can also find the decision boundary graphically. The first step is to note that the boundary is always orthogonal to , as illustrated in the adjacent figures. The boundary is defined by. (4.15) For all points on the boundary, the inner product of the input vector with the weight vector is the same. This implies that these input vectors will all
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Objectives 4 Perceptron Learning Rule - hagan.okstate.edu
hagan.okstate.eduimplement a simple logic function: the AND gate. The input/target pairs for the AND gate are. The figure to the left illustrates the problem graphically. It displays the in-put space, with each input vector labeled according to its target. The dark circles indicate that the target is 1, and the light circles indicate that the target is 0. 1 1 2 +2
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