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This article mainly introduces the relevant knowledge of "limitation case Analysis of matlab Perceptron". The editor shows you the operation process through the actual case. The operation method is simple, fast and practical. I hope this article "limitation case Analysis of matlab Perceptron" can help you solve the problem.

For linear non-separable problems, single-layer perceptrons can not converge in finite time. %% clean up clear,clcclose all%%n=0.2;% learning rate w = [0rect 0]; P = [- 9, 1,-12,-4, 0, 5 [.15,-8, 4, 5, 11, 9]; d = [0memt 1];% expected output

P = [ones (1Pie6); P]; MAX=20;% maximum number of iterations 20% training item0% while 1vexamples wrought Ptincyhardlim (v);% actual output% update e = (dLichy); ee (item1) = mae (e); if (ee (item1) = MAX)% reached the maximum number of iterations and quit disp ('MAX times loop'); disp (w); disp (ee (item1)); break;endi= iTunes 1 If you want to know more about the industry, you can follow the industry information channel. The editor will update different knowledge points for you every day.

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