Interval wavelets Neural Networks (II)——Properties and Experiment
Gao Xie · 1998
In the present paper, it is proved that the interval wavelets neural networks has universal and L 2 approximation properties and is a consistent function estimator. Convergence rates associated with these properties do not decrease as d increases in d dimensional function learning, i.e. , the “curse of dimensionality” is eliminated substantially. In the experiments, the proposed interval wavelet neural networks, compared to traditional wavelet networks, has performed better.