Journal of Soft Computing and Artificial Intelligence

Journal of Soft Computing and Artificial Intelligence

Training Feedforward Neural Networks to Predict the Size of the Population by Using a New Hybrid Method Hestenes-Stiefel (HS) and Dai-Yuan (DY)

Yazarlar: Hisham MOHAMMED, Khalil K. ABBO, Aydin KHUDHUR

Cilt 2 , Sayı 2 , 2021 , Sayfalar 69 - 78

Konular:Bilgisayar Bilimleri, Yapay Zeka

Anahtar Kelimeler:Algorithms,Ann,Conjugate gradient,Hybrid,Population

Özet: We proposed a new conjugate gradient type hybrid approach in this study, which is based on merging Hestenes-Stiefel and Dai-Yuan algorithms using the spectral direction conjugate algorithm, we showed their absolute convergence. Under some assumptions and they satisfied the gradient property. The numerical results demonstrate the efficacy of the developed feedforward neural network training approach. To estimate the size of the population using the Thomas Malthus population model, and Our numerical results were very close to the model of the Tomas Malthose Model, we can use the method to predict other problems through the use of ann.


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BibTex
KOPYALA
@article{2021, title={Training Feedforward Neural Networks to Predict the Size of the Population by Using a New Hybrid Method Hestenes-Stiefel (HS) and Dai-Yuan (DY)}, volume={2}, number={69–78}, publisher={Journal of Soft Computing and Artificial Intelligence}, author={Hisham MOHAMMED,Khalil K. ABBO,Aydin KHUDHUR}, year={2021} }
APA
KOPYALA
Hisham MOHAMMED,Khalil K. ABBO,Aydin KHUDHUR. (2021). Training Feedforward Neural Networks to Predict the Size of the Population by Using a New Hybrid Method Hestenes-Stiefel (HS) and Dai-Yuan (DY) (Vol. 2). Vol. 2. Journal of Soft Computing and Artificial Intelligence.
MLA
KOPYALA
Hisham MOHAMMED,Khalil K. ABBO,Aydin KHUDHUR. Training Feedforward Neural Networks to Predict the Size of the Population by Using a New Hybrid Method Hestenes-Stiefel (HS) and Dai-Yuan (DY). no. 69–78, Journal of Soft Computing and Artificial Intelligence, 2021.