Design a feed forward multi-layer neural network to approximate the function y=sin(x1)+cos(x2). Here, -5...

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Design a feed forward multi-layer neural network to approximate the function y=sin(x1)+cos(x2). Here, -5<x1<5 and 0<x2<5. Please use x1 = (rand(1,50)-0.5)*10; x2 = rand(1,50)*5; to get the samples to train the neural network. Finally, please draw the prediction error series y - ynet for the inputs x1=-5:0.1:5 and x2-D0:0.05:5. Design a feed forward multi-layer neural network to approximate the function y=sin(x1)+cos(x2). Here, -5<x1<5 and 0<x2<5. Please use x1 = (rand(1,50)-0.5)*10; x2 = rand(1,50)*5; to get the samples to train the neural network. Finally, please draw the prediction error series y - ynet for the inputs x1=-5:0.1:5 and x2-D0:0.05:5.

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Pls use the below code on Matlab clc clear all close all create input and target for ... View the full answer