Recurrent neural network model based on projective operator and its application to optimization problems

2006 ◽  
Vol 27 (4) ◽  
pp. 543-554 ◽  
Author(s):  
Ru-ning Ma ◽  
Tian-ping Chen
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Recurrent Neural Network ◽  
Neural Network Model ◽  
Optimization Problems ◽  
Model Based ◽  
Projective Operator

Effects of the chaotic noise on the performance of a neural network model for optimization problems

1995 ◽  
Vol 51 (4) ◽  
pp. R2693-R2696 ◽  
Author(s):  
Yoshinori Hayakawa ◽  
Atsushi Marumoto ◽  
Yasuji Sawada
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Optimization Problems

scholarly journals CONSTRUCTION OF NEURAL NETWORK MODEL FOR STUDYING OF CRYSTAL STRUCTURES PROPERTIES

2021 ◽  
Author(s):  
Olga Uvarova ◽  
Sergey Uvarov
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Total Energy ◽  
Crystal Structures ◽  
Network Model ◽  
Neural Network Model ◽  
Cohesive Energy ◽  
Computational Experiment ◽  
Model Based ◽  
Artificial Neural

The paper considers a mechanism for constructing a model based on artificial neural network for obtaining the values of the cohesive energy of a system of atoms. Cohesive energy allows for calculation of total energy of system. It is one of the most important characteristics of a structure. A computational experiment is carried out for one-component crystal structures of Si, Ge and C.

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