Analysis of models of representation for expert choice neuroprocessor structure
The analysis of the representation of the expert system for selecting the structure of multiprocessor systems (MPS) is performed. Algorithms of three different models of the interface representation of expert systems are described on the basis of the method of parallelizing is proposed by the author...
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| Vydáno v: | 2018 7th Mediterranean Conference on Embedded Computing (MECO) s. 1 - 4 |
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| Jazyk: | angličtina |
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IEEE
01.06.2018
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| Abstract | The analysis of the representation of the expert system for selecting the structure of multiprocessor systems (MPS) is performed. Algorithms of three different models of the interface representation of expert systems are described on the basis of the method of parallelizing is proposed by the authors for the purpose of analyzing possible multiprocessor structures. The program for implementing the interface in the modern language TypeScript is being developed. The ComputerSystemStructure class, the getStructureType method, and some methods for defining structures are presented to describe the characteristic possible MPS structures that identify the type of neural computer network under uncertain conditions using fuzzy sets through neural networks. |
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| AbstractList | The analysis of the representation of the expert system for selecting the structure of multiprocessor systems (MPS) is performed. Algorithms of three different models of the interface representation of expert systems are described on the basis of the method of parallelizing is proposed by the authors for the purpose of analyzing possible multiprocessor structures. The program for implementing the interface in the modern language TypeScript is being developed. The ComputerSystemStructure class, the getStructureType method, and some methods for defining structures are presented to describe the characteristic possible MPS structures that identify the type of neural computer network under uncertain conditions using fuzzy sets through neural networks. |
| Author | Kostrov, Boris Ruchkina, Ekaterina Pikulin, Dmitry Ruchkin, Vladimir Kolesenkov, Aleksandr Fulin, Vladimir Taganov, Aleksandr |
| Author_xml | – sequence: 1 givenname: Vladimir surname: Ruchkin fullname: Ruchkin, Vladimir organization: Engineering Chair, Ryazan State University Ryazan, Russian Federation – sequence: 2 givenname: Vladimir surname: Fulin fullname: Fulin, Vladimir organization: Engineering Chair, Ryazan State University Ryazan, Russian Federation – sequence: 3 givenname: Dmitry surname: Pikulin fullname: Pikulin, Dmitry organization: Engineering Chair, Ryazan State University Ryazan, Russian Federation – sequence: 4 givenname: Boris surname: Kostrov fullname: Kostrov, Boris organization: Ryazan State Radio Engineering, University Ryazan, Russian Federation – sequence: 5 givenname: Aleksandr surname: Taganov fullname: Taganov, Aleksandr organization: Ryazan State Radio Engineering, University Ryazan, Russian Federation – sequence: 6 givenname: Aleksandr surname: Kolesenkov fullname: Kolesenkov, Aleksandr organization: Ryazan State Radio Engineering, University Ryazan, Russian Federation – sequence: 7 givenname: Ekaterina surname: Ruchkina fullname: Ruchkina, Ekaterina organization: Ryazan State Radio Engineering, University Ryazan, Russian Federation |
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| Snippet | The analysis of the representation of the expert system for selecting the structure of multiprocessor systems (MPS) is performed. Algorithms of three different... |
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| SubjectTerms | analysis of multiprocessor structures Analytical models Computational modeling ComputerSystemStructure class decision making expert system interface Expert systems getStructureType method Information exchange Parallel processing Pipelines superset of JavaScript language Task analysis Type-Script language |
| Title | Analysis of models of representation for expert choice neuroprocessor structure |
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