Performance Improved Iteration-Free Artificial Neural Networks for Abnormal Magnetic Resonance Brain Image Classification

2014 ◽  
Vol 130 ◽  
pp. 98-107 ◽  
Author(s):  
D. Jude Hemanth ◽  
C.Kezi Selva Vijila ◽  
A.Immanuel Selvakumar ◽  
J. Anitha
2018 ◽  
Vol 24 (2) ◽  
pp. 1382-1387 ◽  
Author(s):  
Syaifulnizam Abd Manaf ◽  
Norwati Mustapha ◽  
Md. Nasir Sulaiman ◽  
Nor Azura Husin ◽  
Mohd Radzi Abdul Hamid

2020 ◽  
Vol 63 ◽  
pp. 101710
Author(s):  
Jonathan M. Scott ◽  
Arvin Arani ◽  
Armando Manduca ◽  
Kiaran P. McGee ◽  
Joshua D. Trzasko ◽  
...  

2017 ◽  
Vol 80 (1) ◽  
pp. 351-360 ◽  
Author(s):  
Matthew C. Murphy ◽  
Armando Manduca ◽  
Joshua D. Trzasko ◽  
Kevin J. Glaser ◽  
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2020 ◽  
Author(s):  
Dian Ade Kurnia

Artificial neural networks use the same analogy, and process information using artificial neurons.Information is transferred from one artificial neuron to another, which finally leads to an activation function, which acts like a brain and makes a decision


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