Acceleration techniques for the network inversion algorithm

We apply two acceleration techniques for the backpropagation algorithm to a n iterative gradient descent algorithm called the network inversion algorit hm. Experimental results show that these techniques are also quite effectiv e to decrease the number of iterations required for the detection of input vectors on the classification bouudary of a multilayer perceptron.