Our function is f(x): = x² Input Vector X = [ 0 1 2 3 4 5] Output Vector Y= [ 0 1 4 9 16 25] Prediction Vector Z= [ 10 9 8 7 6] The System Should predict the squared values of the Prediction Values. Thus, System have to give an a

1. Define Two Vectors(arrays), Input Vector and Output Vector. Input vector should contain the X values, while the Output vector should contain the squared values of the Input Values Y. 2. Train the system using the neural network tool in Matlab. 3. Define the Prediction Vector which should contain the data that you want to predict it using the system. 4. Simulate the system and check the results.

Answer 1

[Greg Heath]

Looks like homework. I did this problem when I first learned how to use the MATLAB NN Toolbox. However the input was [0:10].

 help fitnet

 doc fitnet

Thank you for formally accepting my answer

Greg

P.S. Try input = 0:10