On the design of constructive training algorithms for multilayer feedforward

The usual way to determine the number of hidden units in multilayer feedforward networks is by a trial and error procedure. An alternative is to use constructive algorithms which change the neural network structure during training. In this paper we propose a new constructive algorithm, explore several design alternatives and conclude that this new constructive algorithm is a better alternative than the procedure of trial and error for designing a neural network.