scholarly journals Conventional and neural network target‐matching methods dynamics: The information technology mergers and acquisitions market in the USA

Author(s):  
Ioannis Anagnostopoulos ◽  
Anas Rizeq
2014 ◽  
Vol 1003 ◽  
pp. 226-229 ◽  
Author(s):  
Ying Hong Xie ◽  
Xiao Wei Han ◽  
Qi Li

In this paper, BP neural network model is used to establish the occurrence and evolution model of PM2.5 in an area in Xi'an city. In the model, wind, humidity, season, SO2,NO2,PM10, CO,O3 (in one hour ) and O3 (in eight hours ) and other influence factors are all considered. The model has good reliability, it can accurately forecast the value of PM2.5 and its variation in the near future, which can provide the basis for the PM2.5 control.


Author(s):  
Андрей Гусев ◽  
Andrey Gusev ◽  
Геннадий Шабанов ◽  
Gennadiy Shabanov ◽  
Михаил Родионов ◽  
...  

The monograph is devoted to the problem of mathematical modeling of process of interaction of the bullet with the block simulator with a finite element method that enables the assessment of the damaging effect of bullets at the design stage, the development of neural network based on the evaluation of those factors on the parameters of the damaging effect of bullets provides a characterization of the striking element on the stages of the pilot study, conceptual design and technical design and development of methods for the assessment of the damaging effect of bullets of small arms ammunition, taking into account elastico viscous state of the target.


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