On the complexity of learning on neural nets

Polynomial bounds for VC dimension of sigmoidal neural networks

STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing

Sample sizes for sigmoidal neural networks

COLT '95 Proceedings of the eighth annual conference on Computational learning theory

Neural networks and multimedia datasets: estimating the size of neural networks for achieving high classification accuracy

MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing

Designing neural networks for tackling hard classification problems

WSEAS TRANSACTIONS on SYSTEMS

Estimating the size of neural networks from the number of available training data

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks