Wavelet Neural Network Implementation in VHDL

Authors

  • Ashlesha Panbude (M.E. VLSI & ES) Department of E&TC, D.Y. Patil College of Engg., Akurdi, Pune)
  • Manish Sharma (M.E. VLSI & ES) Department of E&TC, D.Y. Patil College of Engg., Akurdi, Pune)

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.


 

Downloads

Published

2015-07-30

Issue

Vol. 4 No. 2 (2015)

Section

Research/Review Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is notpublished already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  • I/We also agree to the authorship of the article in the following order:

Author’s name

 

1. ________________

2. ________________

3. ________________

_______________

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.