Objectives 4 Perceptron Learning Rule
Therefore, the network output will be 1 for the region above and to the right of the decision boundary. This region is indicated by the shaded area in Fig-ure 4.3. Figure 4.3 Decision Boundary for Two-Input Perceptron w11, = 1 w12, = 1 b = –1 n wT
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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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