how to assign the output of trained Pattern Recognition Neural Network to a class for each instant

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muhammad usama
muhammad usama 2021 年 11 月 19 日
コメント済み: muhammad usama 2021 年 11 月 26 日
i have a trained pattern recognition neural network with 8 outputs ranges under [0 1] (e.g for instant [0,0.2,0.25,0.35,0.02,0.08,0.1,0] with the sum equal to 1 at the each (1e-6)). Now i would like to assign the max value of the array to a specified class and rest value of the array to be zero for each instant. what is the best posible way to do it. Your help will be appreciated
Best regards

回答 (1 件)

yanqi liu
yanqi liu 2021 年 11 月 26 日
sir,may be find the max index to get the result,such as
% assign the max value of the array to a specified class and rest value of the array to be zero for each insta
p = net(data);
% such as
% p = [0,0.2,0.25,0.35,0.02,0.08,0.1,0];
[~, index] = max(p);
classes = {'A', 'B', 'C','D','E','F','G', 'H'};
result = classes{index}
  1 件のコメント
muhammad usama
muhammad usama 2021 年 11 月 26 日
Thanks for the response. It’s much appreciated. I solve the problem by just using the [m,ind]=max(data from NN) And then using the IF functions to assign the class.

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