Comparison of Neural Network and Multilayered Approach to the Problem of Identification of the Creep and Fracture Model of Structural Elements Based on Experimental Data-Reference-Cited by-同舟云学术

Comparison of Neural Network and Multilayered Approach to the Problem of Identification of the Creep and Fracture Model of Structural Elements Based on Experimental Data

Published:2020 Issue: Volume: Page:319-334
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Vasilyev Alexander^ORCID,Kuznetsov Evgenii^ORCID,Leonov Sergey^ORCID,Tarkhov Dmitry^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-46895-8_25

Reference34 articles.

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4. Dissanayake, M.W.M.G., Phan-Thien, N.: Neural-network-based approximations for solving partial differential equations. Commun. Numer. Methods Eng. 10(3), 195–201 (1994). https://doi.org/10.1002/cnm.1640100303

5. Fasshauer, G.E.: Solving differential equations with radial basis functions: multilevel methods and smoothing. Adv. Comput. Math. 11(2–3), 139–159 (1999). https://doi.org/10.1023/A:1018919824891

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