Simultaneous spectrophotometric quantitative analysis of velpatasvir and sofosbuvir in recently approved FDA pharmaceutical preparation using artificial neural networks and genetic algorithm artificial neural networks

Author(s):  
Khalid A.M. Attia ◽  
Nasr M. El-Abasawi ◽  
Ahmed El-Olemy ◽  
Ahmed H. Abdelazim ◽  
Abdelrahman I. Goda ◽  
...  
Author(s):  
А.В. Милов

В статье представлены математические модели на основе искусственных нейронных сетей, используемые для управления индукционной пайкой. Обучение искусственных нейронных сетей производилось с использованием многокритериального генетического алгоритма FFGA. This article presents mathematical models based on artificial neural networks used to control induction soldering. The artificial neural networks were trained using the FFGA multicriteria genetic algorithm. The developed models allow to control induction soldering under conditions of incomplete or unreliable information, as well as under conditions of complete absence of information about the technological process.


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