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Upravlenie Bol'shimi Sistemami, 2016, Issue 61, Pages 226–255
(Mi ubs877)
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This article is cited in 1 scientific paper (total in 1 paper)
Hardware and Software Tools in Control
Organizing the storage of neuro-fuzzy model in relational databases
V. Alexeev, P. V. Saraev, P. A. Domashnev, O. Nazarkin Lipetsk State Technical University
Abstract:
The paper considers the organization of the storage of ANFIS neuro-fuzzy models in relational databases. Two storage schemes were developed: the universal schema based on the ANFIS model representation as a function of several variables in a computation tree and the specific schema, which reflects layered model structure. Algorithms for computing ANFIS model output for two variants of the storage are described. The possibility of computing ANFIS model output by standard means of SQL is substantiated.
Keywords:
ANFIS neuro-fuzzy model, computation tree, relational databases, SQL-based calculations.
Received: June 15, 2015 Published: May 31, 2016
Citation:
V. Alexeev, P. V. Saraev, P. A. Domashnev, O. Nazarkin, “Organizing the storage of neuro-fuzzy model in relational databases”, UBS, 61 (2016), 226–255
Linking options:
https://www.mathnet.ru/eng/ubs877 https://www.mathnet.ru/eng/ubs/v61/p226
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Statistics & downloads: |
Abstract page: | 178 | Full-text PDF : | 62 | References: | 29 |
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