Using Multi wavelet Network for Identification

Multiwavelet neural network is a new class of artificial neural networks whose their activation functions are multiwavelet functions. The neurons in the hidden layers have been divided into two parts, each part contains wavelets of the same type. The multiwavenet algorithm consist of self-construct...

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Bibliographic Details
Main Authors: Ahmad Qasim A, Thakwan M. Saleem
Format: Article
Language:Arabic
Published: Mustansiriyah University/College of Engineering 2012-09-01
Series:Journal of Engineering and Sustainable Development
Subjects:
Online Access:https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1279
Description
Summary:Multiwavelet neural network is a new class of artificial neural networks whose their activation functions are multiwavelet functions. The neurons in the hidden layers have been divided into two parts, each part contains wavelets of the same type. The multiwavenet algorithm consist of self-construction of the network and the minimization of the error. Here the constructed network is used for identification of a non-linear function. The network showed the excellent ability to identify the required function compared with the single wavelet network.
ISSN:2520-0917
2520-0925