title: Can backpropagation error surface not have local minima.
abstract: It is shown theoretically that for an arbitrary T-element training set with t(t=/<T) different inputs, the backpropagation error surface does not have suboptimal local minima if the network is capable of exactly implementing an arbitrary training set consisting of t different patterns. As a special case, the error surface of a backpropagation network with one hidden layer and t-1 hidden units has no local minima, if the network is trained by an arbitrary T-element set with t different inputs.
authors.affiliation: Dept. of Radio Eng., Southeast Univ., Nanjing.
authors.forename: X H
authors.initials: XH
authors.lastname: Yu