mcguire@fornax.UUCP (Michael McGuire) (01/31/91)
Does anyone know of any books or papers that describe in detail how one would go abount designing a multi-layer perceptron neural network given a certain problem. I am interested in the selection of layers, number of hidden units, learning rate etc. Most of the literature seems to use a trial-and-error method or experience. Given a problem, and a set of patterns to analyze, is there a good way to determine whether a certain network could learning the mapping. Much appreciated.