Wavelet Neural Network Implementation in VHDL

Abstract

Artificial neural networks (ANNs) are a form of artificial intelligence, thathave been modeled after, and inspired by the processes of the human brain. Different areas of application, such as pattern recognition, function approximation, control etc. have demonstrated learning potential of ANNs. Wavelet neural networks combine the functions of time–frequency localization from the wavelet transform and self-learning ability from neural network, which make them particularly suitable for the classification of complex patterns. This paper presents advantages of wavelet neural network and VHDL implementation of wavelet neural network.

Keywords: Artificial neural network, wavelet transform, wavelet neural network

Cite this Article

Panbude Ashlesha, Sharma Manish. Wavelet Neural Network Implementation in VHDL. Research and Reviews: Journal of Computational Biology (RRJoCB). 2015; 4(2): 24–28p.