evolutionary neural networks
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2021 ◽  
Vol 3 (11) ◽  
pp. 2170075
Author(s):  
Maksim Makarenko ◽  
Qizhou Wang ◽  
Arturo Burguete-Lopez ◽  
Fedor Getman ◽  
Andrea Fratalocchi

2021 ◽  
pp. 75-96
Author(s):  
Jitendra Kumar ◽  
Ashutosh Kumar Singh ◽  
Anand Mohan ◽  
Rajkumar Buyya

2021 ◽  
pp. 2100105
Author(s):  
Maksim Makarenko ◽  
Qizhou Wang ◽  
Arturo Burguete-Lopez ◽  
Fedor Getman ◽  
Andrea Fratalocchi

2021 ◽  
Vol 287 ◽  
pp. 125577
Author(s):  
Billel Amiri ◽  
Antonio M. Gómez-Orellana ◽  
Pedro Antonio Gutiérrez ◽  
Rabah Dizène ◽  
César Hervás-Martínez ◽  
...  

2020 ◽  
Vol 3 (2) ◽  
pp. 258-265
Author(s):  
Al-Khowarizmi Al-Khowarizmi

Indonesian Rupiah (IDR) banknotes have unique characteristics that distinguish them from one another, both in the form of numbers, zeros and background images. This pattern of each type of banknote will be modeled in order to test the nominal value and authenticity of IDR, so as to be able to distinguish not only IDR banknotes but also other denominations. Evolutionary Neural Network is the development of the concept of evolution to get a neural network (NN) using genetic algorithms (GA). In this paper the application of evolutionary neural networks with less input is able to have a better success rate in object recognition, because the parameters for producing neural networks are far better


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 134880-134897
Author(s):  
Tanveer Ahmad ◽  
Dongdong Zhang ◽  
Wahab Ali Shah

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