Volume : VI, Issue : IX, September - 2016
Analysis of Wavelet Neural Networks for Time Series
Amandeep Kaur
Abstract :
Wavelet neural networks (WNNs) combine the properties of wavelet decompositions along with the characteristics of neural networks. WNNs include wavelet functions in the neurons of hidden layer of neural network. It has good generalization ability, can approximate complex functions and can be easily trained than other networks. This paper describes the development of wavelet neural networks for time series.
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DOI : 10.36106/ijar
Cite This Article:
Amandeep Kaur Analysis of Wavelet Neural Networks for Time Series Indian Journal of Applied Research,Volume : 6 | Issue : 9 | September 2016
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Amandeep Kaur Analysis of Wavelet Neural Networks for Time Series Indian Journal of Applied Research,Volume : 6 | Issue : 9 | September 2016
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