The approximation and predication of non-linear time series by using wavelet neural networks
Xie Mei · Journal of Natural Science of Heilongjiang University · 2000
The authors establish a new multi-dimensional wavelet network model by combining neural network and wavelet characteristics. They also study the approximation properties and accuracy of wavelet network to approximate non -linear time series of dimensional wavelet network and give the mathematical proof, at the same time, apply the net to approximate and predicate Shanmao datas, the result reveals that the algorithm is feasible.