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Minimization Algorithm for Training Feed Forward Neural Network

Khalil K. Abbo et al · University of Mosul, College of Education for Pure Science · 2013

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Abstract<br /> In this paper we suggested a new learning rate , which improves the classical Backpropagation algorithm (BP). The derivatation of are based on approximating the error function to the quadratic one in sufficiently small neighborhood for the optimal weight vector. The suggested algorithm (Spectral Backpropagation SBP say) is tested and the experimental results show that the SBP learning strategy improves the considered methods.

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APA 7

al, K. K. A. E. (2013). Minimization Algorithm for Training Feed Forward Neural Network. https://doi.org/10.33899/edusj.2013.89659

MLA

al, Khalil K. Abbo et. "Minimization Algorithm for Training Feed Forward Neural Network." 2013. https://doi.org/10.33899/edusj.2013.89659.

Chicago

al, Khalil K. Abbo et. 2013. "Minimization Algorithm for Training Feed Forward Neural Network.". https://doi.org/10.33899/edusj.2013.89659.

Harvard

al, K. K. A. E. 2013, Minimization Algorithm for Training Feed Forward Neural Network, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2013.89659 [Accessed 7 Aug. 2026].

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Title
Minimization Algorithm for Training Feed Forward Neural Network
Author / contributors
Khalil K. Abbo et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2013
ISSN
1812-125X
ISSN
1812-125X
Language
English

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