Lookup & Reference Functions

Author(s):  
Mandeep Mehta
Keyword(s):  
1991 ◽  
Vol 182 (3-4) ◽  
pp. 207-215 ◽  
Author(s):  
Jürgen Gauss ◽  
Walter J. Lauderdale ◽  
John F. Stanton ◽  
John D. Watts ◽  
Rodney J. Bartlett

2019 ◽  
Vol 10 (1) ◽  
pp. 357-369
Author(s):  
Elena Panova ◽  
Elena Shumakova

The article is devoted to the phenomenon of precedence (Yu. N. Karaulov) in modern Internet communication that implements multiple logic (self-presentation, connectivity, virality, aggressive competitiveness) in the conditions of intensive development of the main metaprocesses of modernity (globalization – individualization, commercialization - mediatization, according to F. Krotz ). The authors consider the definition of «precedent text» in the context of the concept of intertextualization, identifying features of the representation of precedent in the aspect of multimedialityr (as the example of posts using text and image in the blogosphere and SMM). Thus, the intersection of media aesthetics and communication strategies of various types is investigated. The authors come to the conclusion about the reference functions of media aesthetic elements, marking the key meanings of statements.


Author(s):  
Nataliia Ravska ◽  
Eugene Korbut ◽  
Oleksiy Ivanovskyi ◽  
Radion Rodin ◽  
Valeria Parnenko ◽  
...  

There are many types and methods of simulation, but among them special attention should be paid to methods based on the theory of heuristic self-organization. All algorithms of the method of group argumentation (MGVA) are characterized by structural commonality on the principle of self-organization, which require insignificant requirements for a priori information to search for an infinite number of options. The advantage of the algorithm of the method of group consideration of arguments in comparison with other algorithms of this class is the presence of possibilities of expansion of the vector of initial data and the device for elimination of collinearity - reception of orthogonalization. MGVA consists of two blocks: pre-processing of observations taking into account the system of selected reference functions and calculation of selection applicants. As a result of the algorithm, models capable of controlling the process taking into account the phenomena accompanying a certain process are obtained. Given the commonality of the main provisions of the theory of self-organization of artificial neural networks and MGVA, the network variables are added to the model as a variable Z. As a result, we obtain a neural network that describes the physical phenomena accompanying the process. This will significantly increase the efficiency and accuracy of process management.


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