The Significance of Artificial Neural Networks Algorithms Classification in the Multiple Sclerosis and Its Subgroups

Yeliz Karaca; Şengül Hayta

doi:10.17148/iarjset.2015.21201

The Significance of Artificial Neural Networks Algorithms Classification in the Multiple Sclerosis and Its Subgroups

IARJSET ◽

10.17148/iarjset.2015.21201 ◽

2015 ◽

Vol 2 (12) ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Yeliz Karaca ◽

Şengül Hayta

Keyword(s):

Multiple Sclerosis ◽

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

Download Full-text

Artificial Neural Networks Used to Study the Evolution of the Multiple Sclerosis

Artificial Neural Networks - Methodological Advances and Biomedical Applications ◽

10.5772/14952 ◽

2011 ◽

Author(s):

Tabares Ospina ◽

Hector Anibal

Keyword(s):

Multiple Sclerosis ◽

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

Download Full-text

The PSO Algorithm and the Diagnosis of Multiple Sclerosis Using Artificial Neural Networks

2014 Annual Global Online Conference on Information and Computer Technology ◽

10.1109/gocict.2014.24 ◽

2014 ◽

Author(s):

Angel Gutierrez

Keyword(s):

Multiple Sclerosis ◽

Neural Networks ◽

Artificial Neural Networks ◽

Pso Algorithm ◽

Artificial Neural

Download Full-text

Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis

European Radiology ◽

10.1007/s00330-019-06593-y ◽

2020 ◽

Vol 30 (4) ◽

pp. 2356-2364 ◽

Cited By ~ 1

Author(s):

Gianluca Brugnara ◽

Fabian Isensee ◽

Ulf Neuberger ◽

David Bonekamp ◽

Jens Petersen ◽

...

Keyword(s):

Multiple Sclerosis ◽

Neural Networks ◽

Artificial Neural Networks ◽

Disease Burden ◽

Accurate Assessment ◽

Volumetric Assessment ◽

Artificial Neural

Download Full-text

Importance of Contrast Sensitivity to High and Low Spatial Frequency and Artificial Neural Networks for Visual Impairment in Multiple Sclerosis

Advances in Ophthalmology & Visual System ◽

10.15406/aovs.2015.03.00084 ◽

2016 ◽

Vol 3 (2) ◽

Author(s):

Vieira-Gutemberg Jákina Guimarães

Keyword(s):

Multiple Sclerosis ◽

Neural Networks ◽

Artificial Neural Networks ◽

Spatial Frequency ◽

Visual Impairment ◽

Contrast Sensitivity ◽

Artificial Neural

Download Full-text

Influence of Wavelets and Boundary Conditions on the Diagnosis of Multiple Sclerosis Using Artificial Neural Networks

2015 Annual Global Online Conference on Information and Computer Technology (GOCICT) ◽

10.1109/gocict.2015.10 ◽

2015 ◽

Author(s):

Angel Gutierrez

Keyword(s):

Multiple Sclerosis ◽

Neural Networks ◽

Artificial Neural Networks ◽

Boundary Conditions ◽

Artificial Neural

Download Full-text

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

Download Full-text

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Artificial Neural

Download Full-text

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Artificial Neural Networks ◽

Organizational Issues ◽

Artificial Neural

Download Full-text

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Artificial Neural Networks ◽

Diagnosis And Prognosis ◽

Artificial Neural

Download Full-text

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Space Exploration ◽

Artificial Neural

Download Full-text