Approximation and estimation bounds for artificial neural networks

The learning complexity of smooth functions of a single variable

COLT '92 Proceedings of the fifth annual workshop on Computational learning theory

Rate of approximation results motivated by robust neural network learning

COLT '93 Proceedings of the sixth annual conference on Computational learning theory

On a learnability question associated to neural networks with continuous activations (extended abstract)

COLT '94 Proceedings of the seventh annual conference on Computational learning theory

Training a sigmoidal node is hard

Neural Computation

A note on a scale-sensitive dimension of linear bounded functionals in Banach spaces

Theoretical Computer Science

Generalization and Generalizability Measures

IEEE Transactions on Knowledge and Data Engineering

Testing Forecast Accuracy of Foreign Exchange Rates: Predictions from Feed Forward and Various Recurrent Neural Network Architectures

Computational Economics

Geometrical error compensation of gantry stage using neural networks

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III