Knowledge-Based Models of Nonlinear Systems Based on Inductive Learning-Reference-Cited by-同舟云学术

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Knowledge-Based Models of Nonlinear Systems Based on Inductive Learning

Published:2015-10-27 Issue: Volume: Page:85-104
ISSN:1868-4394
Container-title:New Frontiers in Information and Production Systems Modelling and Analysis
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Author:

Bakhtadze Nataliya N.,Lototsky Vladimir A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-23338-3_4

Reference21 articles.

1. Bakhtadze N, Lototsky V, Maximov E, Pavlov B (2007) Associative search models in industrial systems. In: Proceedings of IFAC workshop on intelligent manufacturing systems, pp 156–161

2. Bakhtadze N, Lototsky V, Valiakhmetov R (2008) Assosiative search models in trading. In: Proceedings of 17th IFAC world congress, Seoul, Korea, pp 4280–4284

3. Bakhtadze N, Kulba V, Lototsky V, Maximov E (2011) Identification methods based on associative search procedure. Control and Cybernetics 2(3):6–18

4. Bakhtadze NN, Lototsky VA, Vlasov SA, Sakrutina EA (2012) Associative search and wavelet analysis techniques in system identification. In: Proceedings of the 16-th IFAC symposium on system identification, 2012. IFAC Publication, Brussels, Belgium, pp 1227–1232

5. Bellman R, Kalaba R (1960) Dynamic programming and adaptive control processes: mathematical foundations. IRE Trans Autom Control AC-5:5–10

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