Enhanced spectral conjugate gradient methods for unconstrained optimization.

Autor: Laylani, Yoksal A.¹ yuksel@uokirkuk.edu.iq, Hassan, Basim A.² basimah@uomosul.edu.iq, Khudhur, Hisham M.² hisham892020@uomosul.edu.iq

Publikováno v: International Journal of Mathematics & Computer Science. 2023, Vol. 18 Issue 2, p163-172. 10p.

A New Class of Optimization Methods Based on Coefficient Conjugate Gradient.

Autor: Laylani, Yoksal A.¹ yuksel@uokirkuk.edu.iq, Hassan, Basim A.² basimah@uomosul.edu.iq, Khudhur, Hisham M.² hisham892020@uomosul.edu.iq

Publikováno v: European Journal of Pure & Applied Mathematics. Oct2022, Vol. 15 Issue 4, p1908-1916. 9p.

Training feed forward neural network with modified Fletcher-Reeves method

Autor: LAYLANİ, Yoksal A., ABBO, Khalil K., KHUDHUR, Hisham M.

Publikováno v: Journal of Multidisciplinary Modeling and Optimization, Vol 1, Iss 1, Pp 14-22 (2018)
Volume: 1, Issue: 1 14-22
Journal of Multidisciplinary Modeling and Optimization

In this research, a modified Fletcher-Reeves (FR) conjugate gradient algorithm for training large scale feed forward neural network (FFNN) is presented. Under mild conditions, we establish that the proposed method satisfies the sufficient descent con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::24fa24a778344cce66de37db801d422a
https://dergipark.org.tr/tr/pub/jmmo/issue/38716/392124?publisher=http-w3-sdu-edu-tr-personel-00606-prof-dr-ahmet-sahiner