Arbitrary nonlinearity is sufficient to represent all functions by neural networks: a theorem

Feedforward Neural Networks Based Input-Output Models for RailwayCarriage System Identification

Neural Processing Letters

Function approximation on non-Euclidean spaces

Neural Networks

A semi-evolutionary approach for modeling pedotransfer functions with small size of data using artificial neural networks

ISTASC'06 Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation

Simultaneous approximations of polynomials and derivatives and their applications to neural networks

Neural Computation

Some new results on neural network approximation

Neural Networks

Ensemble fractional sensitivity: a quantitative approach to neuron selection for decoding motor tasks

Computational Intelligence and Neuroscience - Special issue on signal processing for neural spike trains

Effects of using different neural network structures and cost functions in locomotion control

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I