Using Multi wavelet Network for Identification
الكلمات المفتاحية:
wavelet، multi wavelet، identificationالملخص
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.
التنزيلات
Key Dates
منشور
2012-09-01
إصدار
القسم
Articles
الرخصة
هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.
The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY) 
كيفية الاقتباس
Using Multi wavelet Network for Identification. (2012). مجلة الهندسة والتنمية المستدامة, 16(3), 211-217. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1279
