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Industrial Automatic Control Systems and Controllers Annotation << Back
Build Options of the Expert System Based on Neural Network Models in the Cloud |
M.N. Timofeev
This article describes the parameters of building an expert system based on neural network models in the cloud service to optimize the methodology for building expert neural networks with remote processing core. The relevance of this development is due to the fact that one of the main problems of processing large amounts of sociological data is the inability to work with multiple data sources. The use of the expert core as the basis of development requires the intellectualization of the information system to prevent the input of incorrect and non-valuable data. In this regard, the design of the neural network as the basis of artificial intelligence to solve the problem can be implemented on the basis of cloud technology, taking into account the functioning of the core of the control system. The implementation and justification of this concept is described in the article.
Keywords: neural network models; neural network; cloud storage; sociological data; big data; core; expert system.
DOI: 10.25791/asu.1.2020.1119
Contacts: -
Pp. 36-42. |
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