Prashant Kumar answered . 2024-04-21 08:21:21

P = [0 1 2 3 4 5 6 7 8 9 10];
T = [0 1 2 3 4 3 2 1 2 3 4];

% Before training, use the following code

net = newff([0 10],[5 1],{'tansig' 'purelin'});
Y = sim(net,P);
plot(P,T,P,Y,'o')

net.trainParam.epochs = 50;
net = train(net,P,T);
Y = sim(net,P);
plot(P,T,P,Y,'o')

%%Using GENSIM

gensim(net)

t=[0:10];
u=ones(1,11);
tu=[t;u];
save newfrom.mat tu;

Suppose we want to tune only the following weight:

my_neuralnet/Neural Network/Layer 1/IW{1,1}/IW{1,1}(1,:)'

So we go to this Constant block and change the value to a symbolic value, say "Pooh". Then we need to inline parameters and configure Pooh as a tunable parameter. Then we need to build the model. To change Pooh to 100, you can simply use the following:

pooh = 100;
myrtp = rsimgetrtp('my_neuralnet');
save myparamfile myrtp;
!my_neuralnet -p myparamfile.mat

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