How can a MLP learn? We know only the random sample (xi,Y)and the vector error Y-N(X) OMSE △m,k）=-c4am, aSE(k) Am(k)=-Cx my Y-N(X
How can a MLP learn? ◼ We know only the random sample (xi ,Yi ) and the vector error Yi -N(Xi ) ij ij k m m k c = − MSE ( ) ij ij k m k m k c = − SE( ) ( ) Xi Yi-N(Xi)
BP Algorithm The Principle of BP algorithm Working signals are propagate forward to the output neurons. Error signals are propagated backward to the input field
BP Algorithm ◼ The Principle of BP algorithm ◼ Working signals are propagate forward to the output neurons. ◼ Error signals are propagated backward to the input field