An application of neural nets to comparative linguistics (abstract only)

We consider the computational complexity of learning by neural nets. We are interested in how hard it is to design appropriate neural net architectures and to train neural nets for general and specialized learning tasks. Our main result shows that the ...

Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual generalization ...

Abstract: In the literature a large variety of neural nets has been proposed all having the capability of modeling the dynamic behavior of a system. In this paper a neural net is used to build a predictor for such a dynamical system. This neural net is ...