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Neural Network Learning Using an Improved Levenberg-Marquardt Algorithm

This paper presents a new method to improve the convergence speed and efficiency of the Levenberg-Marquardt algorithm. The Levenberg-Marquardt algorithm is a Newton-based method that is efficient in optimization and determining the weights of neural networks compared to other methods, including the...

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Autors principals: Reza Yazhari Kermani, Mohammad Mollaie Emamzadeh, Mojtaba Barkhordari Yazdi
Format: Artigo
Idioma:Persa
Publicat: Yazd University 2025-02-01
Col·lecció:پژوهش‌های نظری و کاربردی هوش ماشینی
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Accés en línia:https://abmir.yazd.ac.ir/article_3791_63da321d8025e80f70c15aabd8f42d43.pdf
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