STUDY OF A GROWTH ALGORITHM FOR A FEEDFORWARD NETWORK
Jean‐Pierre Nadal · International Journal of Neural Systems · 1989
We study an algorithm for a feedforward network which is similar in spirit to the Tiling algorithm recently introduced: the hidden units are added one by one until the network performs the desired task, and convergence is guaranteed. The difference is in the architecture of the network, which is more constrained here. Numerical tests show performances similar to that of the Tiling algorithm, although the total number of couplings in general grows faster.