implement the linear least squares algorithm for the RBF network
چهار سال پیش منتشر شده
تعداد بازدید: 519
کد پروژه: 277692
شرح پروژه
Write a MATLAB or Python program to implement the linear least squares algorithm for the RBF network with first layer weights and biases fixed. Train the network to approximate the function:
1) Select 10 training points at random from the interval .
2) Select four basis function centers evenly spaced on the interval -2<=p<=2. Then, use the following equation to set the bias:
- Finally, use linear least squares to find the second layer weights and biases, assuming that there is no regularization.
- Plot the network response for -2<=p<=2 and show the training points on the same plot. Compute
the sum squared error over the training set.
3) Double the bias from part ii and repeat.
4) Decrease the bias by half from part ii, and repeat.
5) Compare the final sum squared errors for all cases and explain your
results.
مهارت ها و تخصص های مورد نیاز
مبلغ پروژه
130,000 تومان
مهلت برای انجام
3روز
وضعیت مناقصه
انجام شده
درباره کارفرما
عضویت چهار سال پیش
